From df29d4687236f66d456798af280d8110e85b4d7f Mon Sep 17 00:00:00 2001 From: nateraw Date: Thu, 6 Oct 2022 14:00:50 -0400 Subject: [PATCH] :recycle: old doc links -> new doc links --- hfdocs/source/models/adversarial-inception-v3.mdx | 4 ++-- hfdocs/source/models/advprop.mdx | 4 ++-- hfdocs/source/models/big-transfer.mdx | 4 ++-- hfdocs/source/models/csp-darknet.mdx | 4 ++-- hfdocs/source/models/csp-resnet.mdx | 4 ++-- hfdocs/source/models/csp-resnext.mdx | 4 ++-- hfdocs/source/models/densenet.mdx | 4 ++-- hfdocs/source/models/dla.mdx | 4 ++-- hfdocs/source/models/dpn.mdx | 4 ++-- hfdocs/source/models/ecaresnet.mdx | 4 ++-- hfdocs/source/models/efficientnet-pruned.mdx | 4 ++-- hfdocs/source/models/efficientnet.mdx | 4 ++-- hfdocs/source/models/ensemble-adversarial.mdx | 4 ++-- hfdocs/source/models/ese-vovnet.mdx | 4 ++-- hfdocs/source/models/fbnet.mdx | 4 ++-- hfdocs/source/models/gloun-inception-v3.mdx | 4 ++-- hfdocs/source/models/gloun-resnet.mdx | 4 ++-- hfdocs/source/models/gloun-resnext.mdx | 4 ++-- hfdocs/source/models/gloun-senet.mdx | 4 ++-- hfdocs/source/models/gloun-seresnext.mdx | 4 ++-- hfdocs/source/models/gloun-xception.mdx | 4 ++-- hfdocs/source/models/hrnet.mdx | 4 ++-- hfdocs/source/models/ig-resnext.mdx | 4 ++-- hfdocs/source/models/inception-resnet-v2.mdx | 4 ++-- hfdocs/source/models/inception-v3.mdx | 4 ++-- hfdocs/source/models/inception-v4.mdx | 4 ++-- hfdocs/source/models/legacy-se-resnet.mdx | 4 ++-- hfdocs/source/models/legacy-se-resnext.mdx | 4 ++-- hfdocs/source/models/legacy-senet.mdx | 4 ++-- hfdocs/source/models/mixnet.mdx | 4 ++-- hfdocs/source/models/mnasnet.mdx | 4 ++-- hfdocs/source/models/mobilenet-v2.mdx | 4 ++-- hfdocs/source/models/mobilenet-v3.mdx | 4 ++-- hfdocs/source/models/nasnet.mdx | 4 ++-- hfdocs/source/models/noisy-student.mdx | 4 ++-- hfdocs/source/models/pnasnet.mdx | 4 ++-- hfdocs/source/models/regnetx.mdx | 4 ++-- hfdocs/source/models/regnety.mdx | 4 ++-- hfdocs/source/models/res2net.mdx | 4 ++-- hfdocs/source/models/res2next.mdx | 4 ++-- hfdocs/source/models/resnest.mdx | 4 ++-- hfdocs/source/models/resnet-d.mdx | 4 ++-- hfdocs/source/models/resnet.mdx | 4 ++-- hfdocs/source/models/resnext.mdx | 4 ++-- hfdocs/source/models/rexnet.mdx | 4 ++-- hfdocs/source/models/se-resnet.mdx | 4 ++-- hfdocs/source/models/selecsls.mdx | 4 ++-- hfdocs/source/models/seresnext.mdx | 4 ++-- hfdocs/source/models/skresnet.mdx | 4 ++-- hfdocs/source/models/skresnext.mdx | 4 ++-- hfdocs/source/models/spnasnet.mdx | 4 ++-- hfdocs/source/models/ssl-resnet.mdx | 4 ++-- hfdocs/source/models/swsl-resnet.mdx | 4 ++-- hfdocs/source/models/swsl-resnext.mdx | 4 ++-- hfdocs/source/models/tf-efficientnet-condconv.mdx | 4 ++-- hfdocs/source/models/tf-efficientnet-lite.mdx | 4 ++-- hfdocs/source/models/tf-efficientnet.mdx | 4 ++-- hfdocs/source/models/tf-inception-v3.mdx | 4 ++-- hfdocs/source/models/tf-mixnet.mdx | 4 ++-- hfdocs/source/models/tf-mobilenet-v3.mdx | 4 ++-- hfdocs/source/models/tresnet.mdx | 4 ++-- hfdocs/source/models/wide-resnet.mdx | 4 ++-- hfdocs/source/models/xception.mdx | 4 ++-- 63 files changed, 126 insertions(+), 126 deletions(-) diff --git a/hfdocs/source/models/adversarial-inception-v3.mdx b/hfdocs/source/models/adversarial-inception-v3.mdx index 06314435..fd7fce47 100644 --- a/hfdocs/source/models/adversarial-inception-v3.mdx +++ b/hfdocs/source/models/adversarial-inception-v3.mdx @@ -63,7 +63,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `adv_inception_v3`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -77,7 +77,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/advprop.mdx b/hfdocs/source/models/advprop.mdx index de31177b..0743a1e4 100644 --- a/hfdocs/source/models/advprop.mdx +++ b/hfdocs/source/models/advprop.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `tf_efficientnet_b0_ap`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/big-transfer.mdx b/hfdocs/source/models/big-transfer.mdx index 4f353d9a..05255c35 100644 --- a/hfdocs/source/models/big-transfer.mdx +++ b/hfdocs/source/models/big-transfer.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `resnetv2_101x1_bitm`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/csp-darknet.mdx b/hfdocs/source/models/csp-darknet.mdx index 41124940..7accdbae 100644 --- a/hfdocs/source/models/csp-darknet.mdx +++ b/hfdocs/source/models/csp-darknet.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `cspdarknet53`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/csp-resnet.mdx b/hfdocs/source/models/csp-resnet.mdx index 4734b6f9..66971057 100644 --- a/hfdocs/source/models/csp-resnet.mdx +++ b/hfdocs/source/models/csp-resnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `cspresnet50`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/csp-resnext.mdx b/hfdocs/source/models/csp-resnext.mdx index a7697802..d9eb8383 100644 --- a/hfdocs/source/models/csp-resnext.mdx +++ b/hfdocs/source/models/csp-resnext.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `cspresnext50`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/densenet.mdx b/hfdocs/source/models/densenet.mdx index 4554fb12..cec9ba17 100644 --- a/hfdocs/source/models/densenet.mdx +++ b/hfdocs/source/models/densenet.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `densenet121`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/dla.mdx b/hfdocs/source/models/dla.mdx index 19825014..ab38d626 100644 --- a/hfdocs/source/models/dla.mdx +++ b/hfdocs/source/models/dla.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `dla102`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/dpn.mdx b/hfdocs/source/models/dpn.mdx index 946a6cfa..26d8a4a7 100644 --- a/hfdocs/source/models/dpn.mdx +++ b/hfdocs/source/models/dpn.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `dpn107`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/ecaresnet.mdx b/hfdocs/source/models/ecaresnet.mdx index 9f913f84..c5c1619e 100644 --- a/hfdocs/source/models/ecaresnet.mdx +++ b/hfdocs/source/models/ecaresnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `ecaresnet101d`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/efficientnet-pruned.mdx b/hfdocs/source/models/efficientnet-pruned.mdx index 616cca7c..75ad6cab 100644 --- a/hfdocs/source/models/efficientnet-pruned.mdx +++ b/hfdocs/source/models/efficientnet-pruned.mdx @@ -65,7 +65,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `efficientnet_b1_pruned`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -79,7 +79,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/efficientnet.mdx b/hfdocs/source/models/efficientnet.mdx index 3bccfcfe..f9e01962 100644 --- a/hfdocs/source/models/efficientnet.mdx +++ b/hfdocs/source/models/efficientnet.mdx @@ -63,7 +63,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `efficientnet_b0`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -77,7 +77,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/ensemble-adversarial.mdx b/hfdocs/source/models/ensemble-adversarial.mdx index 09ee0e92..4781aa1f 100644 --- a/hfdocs/source/models/ensemble-adversarial.mdx +++ b/hfdocs/source/models/ensemble-adversarial.mdx @@ -63,7 +63,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `ens_adv_inception_resnet_v2`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -77,7 +77,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/ese-vovnet.mdx b/hfdocs/source/models/ese-vovnet.mdx index e67d0498..d92a6034 100644 --- a/hfdocs/source/models/ese-vovnet.mdx +++ b/hfdocs/source/models/ese-vovnet.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `ese_vovnet19b_dw`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/fbnet.mdx b/hfdocs/source/models/fbnet.mdx index 6f76dae7..cdb3ba61 100644 --- a/hfdocs/source/models/fbnet.mdx +++ b/hfdocs/source/models/fbnet.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `fbnetc_100`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/gloun-inception-v3.mdx b/hfdocs/source/models/gloun-inception-v3.mdx index 56d26e76..edf3d870 100644 --- a/hfdocs/source/models/gloun-inception-v3.mdx +++ b/hfdocs/source/models/gloun-inception-v3.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `gluon_inception_v3`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/gloun-resnet.mdx b/hfdocs/source/models/gloun-resnet.mdx index da991649..8cd97056 100644 --- a/hfdocs/source/models/gloun-resnet.mdx +++ b/hfdocs/source/models/gloun-resnet.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `gluon_resnet101_v1b`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/gloun-resnext.mdx b/hfdocs/source/models/gloun-resnext.mdx index d6584b32..7420b3c7 100644 --- a/hfdocs/source/models/gloun-resnext.mdx +++ b/hfdocs/source/models/gloun-resnext.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `gluon_resnext101_32x4d`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/gloun-senet.mdx b/hfdocs/source/models/gloun-senet.mdx index b9667c5d..ee28d7c8 100644 --- a/hfdocs/source/models/gloun-senet.mdx +++ b/hfdocs/source/models/gloun-senet.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `gluon_senet154`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/gloun-seresnext.mdx b/hfdocs/source/models/gloun-seresnext.mdx index 519e3780..bb432155 100644 --- a/hfdocs/source/models/gloun-seresnext.mdx +++ b/hfdocs/source/models/gloun-seresnext.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `gluon_seresnext101_32x4d`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/gloun-xception.mdx b/hfdocs/source/models/gloun-xception.mdx index f0a7c324..0dee376e 100644 --- a/hfdocs/source/models/gloun-xception.mdx +++ b/hfdocs/source/models/gloun-xception.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `gluon_xception65`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/hrnet.mdx b/hfdocs/source/models/hrnet.mdx index 8828385d..c0d5ec2a 100644 --- a/hfdocs/source/models/hrnet.mdx +++ b/hfdocs/source/models/hrnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `hrnet_w18`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/ig-resnext.mdx b/hfdocs/source/models/ig-resnext.mdx index 0a95a973..0f2b2249 100644 --- a/hfdocs/source/models/ig-resnext.mdx +++ b/hfdocs/source/models/ig-resnext.mdx @@ -63,7 +63,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `ig_resnext101_32x16d`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -77,7 +77,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/inception-resnet-v2.mdx b/hfdocs/source/models/inception-resnet-v2.mdx index 6c932cd2..c4eb1586 100644 --- a/hfdocs/source/models/inception-resnet-v2.mdx +++ b/hfdocs/source/models/inception-resnet-v2.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `inception_resnet_v2`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/inception-v3.mdx b/hfdocs/source/models/inception-v3.mdx index 50cd9ff4..cd21e5de 100644 --- a/hfdocs/source/models/inception-v3.mdx +++ b/hfdocs/source/models/inception-v3.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `inception_v3`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/inception-v4.mdx b/hfdocs/source/models/inception-v4.mdx index 386eab71..f9b4adf0 100644 --- a/hfdocs/source/models/inception-v4.mdx +++ b/hfdocs/source/models/inception-v4.mdx @@ -58,7 +58,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `inception_v4`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -72,7 +72,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/legacy-se-resnet.mdx b/hfdocs/source/models/legacy-se-resnet.mdx index 5bc42874..68ed5a30 100644 --- a/hfdocs/source/models/legacy-se-resnet.mdx +++ b/hfdocs/source/models/legacy-se-resnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `legacy_seresnet101`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/legacy-se-resnext.mdx b/hfdocs/source/models/legacy-se-resnext.mdx index 617b0827..8ff527f3 100644 --- a/hfdocs/source/models/legacy-se-resnext.mdx +++ b/hfdocs/source/models/legacy-se-resnext.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `legacy_seresnext101_32x4d`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/legacy-senet.mdx b/hfdocs/source/models/legacy-senet.mdx index 42fc6d79..9768d868 100644 --- a/hfdocs/source/models/legacy-senet.mdx +++ b/hfdocs/source/models/legacy-senet.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `legacy_senet154`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/mixnet.mdx b/hfdocs/source/models/mixnet.mdx index 785a28b8..2e058027 100644 --- a/hfdocs/source/models/mixnet.mdx +++ b/hfdocs/source/models/mixnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `mixnet_l`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/mnasnet.mdx b/hfdocs/source/models/mnasnet.mdx index 90939284..e49c06cc 100644 --- a/hfdocs/source/models/mnasnet.mdx +++ b/hfdocs/source/models/mnasnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `mnasnet_100`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/mobilenet-v2.mdx b/hfdocs/source/models/mobilenet-v2.mdx index db265ed3..507ec99d 100644 --- a/hfdocs/source/models/mobilenet-v2.mdx +++ b/hfdocs/source/models/mobilenet-v2.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `mobilenetv2_100`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/mobilenet-v3.mdx b/hfdocs/source/models/mobilenet-v3.mdx index c4421808..e1ff317b 100644 --- a/hfdocs/source/models/mobilenet-v3.mdx +++ b/hfdocs/source/models/mobilenet-v3.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `mobilenetv3_large_100`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/nasnet.mdx b/hfdocs/source/models/nasnet.mdx index f9e5b8ad..24715f69 100644 --- a/hfdocs/source/models/nasnet.mdx +++ b/hfdocs/source/models/nasnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `nasnetalarge`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/noisy-student.mdx b/hfdocs/source/models/noisy-student.mdx index 8a80f994..2d12e8c8 100644 --- a/hfdocs/source/models/noisy-student.mdx +++ b/hfdocs/source/models/noisy-student.mdx @@ -68,7 +68,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `tf_efficientnet_b0_ns`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -82,7 +82,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/pnasnet.mdx b/hfdocs/source/models/pnasnet.mdx index 001c0923..fff5851c 100644 --- a/hfdocs/source/models/pnasnet.mdx +++ b/hfdocs/source/models/pnasnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `pnasnet5large`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/regnetx.mdx b/hfdocs/source/models/regnetx.mdx index 5e031e03..8ff3e3d7 100644 --- a/hfdocs/source/models/regnetx.mdx +++ b/hfdocs/source/models/regnetx.mdx @@ -63,7 +63,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `regnetx_002`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -77,7 +77,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/regnety.mdx b/hfdocs/source/models/regnety.mdx index be0200ab..51e64f55 100644 --- a/hfdocs/source/models/regnety.mdx +++ b/hfdocs/source/models/regnety.mdx @@ -65,7 +65,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `regnety_002`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -79,7 +79,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/res2net.mdx b/hfdocs/source/models/res2net.mdx index 4ad66112..751cf35d 100644 --- a/hfdocs/source/models/res2net.mdx +++ b/hfdocs/source/models/res2net.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `res2net101_26w_4s`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/res2next.mdx b/hfdocs/source/models/res2next.mdx index 1d356452..8c883dff 100644 --- a/hfdocs/source/models/res2next.mdx +++ b/hfdocs/source/models/res2next.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `res2next50`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/resnest.mdx b/hfdocs/source/models/resnest.mdx index 43fed635..1d64b12e 100644 --- a/hfdocs/source/models/resnest.mdx +++ b/hfdocs/source/models/resnest.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `resnest101e`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/resnet-d.mdx b/hfdocs/source/models/resnet-d.mdx index b2be2d3d..1f6b47b0 100644 --- a/hfdocs/source/models/resnet-d.mdx +++ b/hfdocs/source/models/resnet-d.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `resnet101d`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/resnet.mdx b/hfdocs/source/models/resnet.mdx index 922549b4..3f3641f7 100644 --- a/hfdocs/source/models/resnet.mdx +++ b/hfdocs/source/models/resnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `resnet18`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/resnext.mdx b/hfdocs/source/models/resnext.mdx index 244e9fb1..a905576c 100644 --- a/hfdocs/source/models/resnext.mdx +++ b/hfdocs/source/models/resnext.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `resnext101_32x8d`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/rexnet.mdx b/hfdocs/source/models/rexnet.mdx index 714365f2..09fb2144 100644 --- a/hfdocs/source/models/rexnet.mdx +++ b/hfdocs/source/models/rexnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `rexnet_100`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/se-resnet.mdx b/hfdocs/source/models/se-resnet.mdx index ef23583d..ba884bde 100644 --- a/hfdocs/source/models/se-resnet.mdx +++ b/hfdocs/source/models/se-resnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `seresnet152d`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/selecsls.mdx b/hfdocs/source/models/selecsls.mdx index 3a9366bc..12813ba8 100644 --- a/hfdocs/source/models/selecsls.mdx +++ b/hfdocs/source/models/selecsls.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `selecsls42b`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/seresnext.mdx b/hfdocs/source/models/seresnext.mdx index ff5af012..1f453496 100644 --- a/hfdocs/source/models/seresnext.mdx +++ b/hfdocs/source/models/seresnext.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `seresnext26d_32x4d`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/skresnet.mdx b/hfdocs/source/models/skresnet.mdx index ce182ed9..643a6cbc 100644 --- a/hfdocs/source/models/skresnet.mdx +++ b/hfdocs/source/models/skresnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `skresnet18`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/skresnext.mdx b/hfdocs/source/models/skresnext.mdx index a3c36f5d..ae499b34 100644 --- a/hfdocs/source/models/skresnext.mdx +++ b/hfdocs/source/models/skresnext.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `skresnext50_32x4d`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/spnasnet.mdx b/hfdocs/source/models/spnasnet.mdx index 4d0f90a7..a589b0fc 100644 --- a/hfdocs/source/models/spnasnet.mdx +++ b/hfdocs/source/models/spnasnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `spnasnet_100`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/ssl-resnet.mdx b/hfdocs/source/models/ssl-resnet.mdx index 190afff1..2e1d0a7a 100644 --- a/hfdocs/source/models/ssl-resnet.mdx +++ b/hfdocs/source/models/ssl-resnet.mdx @@ -63,7 +63,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `ssl_resnet18`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -77,7 +77,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/swsl-resnet.mdx b/hfdocs/source/models/swsl-resnet.mdx index 7789c17d..2def3c86 100644 --- a/hfdocs/source/models/swsl-resnet.mdx +++ b/hfdocs/source/models/swsl-resnet.mdx @@ -63,7 +63,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `swsl_resnet18`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -77,7 +77,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/swsl-resnext.mdx b/hfdocs/source/models/swsl-resnext.mdx index 9b309093..63c4f8b1 100644 --- a/hfdocs/source/models/swsl-resnext.mdx +++ b/hfdocs/source/models/swsl-resnext.mdx @@ -63,7 +63,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `swsl_resnext101_32x16d`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -77,7 +77,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/tf-efficientnet-condconv.mdx b/hfdocs/source/models/tf-efficientnet-condconv.mdx index d8f09940..320f20ff 100644 --- a/hfdocs/source/models/tf-efficientnet-condconv.mdx +++ b/hfdocs/source/models/tf-efficientnet-condconv.mdx @@ -67,7 +67,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `tf_efficientnet_cc_b0_4e`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -81,7 +81,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/tf-efficientnet-lite.mdx b/hfdocs/source/models/tf-efficientnet-lite.mdx index c2005695..30671ee7 100644 --- a/hfdocs/source/models/tf-efficientnet-lite.mdx +++ b/hfdocs/source/models/tf-efficientnet-lite.mdx @@ -67,7 +67,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `tf_efficientnet_lite0`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -81,7 +81,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/tf-efficientnet.mdx b/hfdocs/source/models/tf-efficientnet.mdx index ebac0f3c..986d3325 100644 --- a/hfdocs/source/models/tf-efficientnet.mdx +++ b/hfdocs/source/models/tf-efficientnet.mdx @@ -65,7 +65,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `tf_efficientnet_b0`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -79,7 +79,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/tf-inception-v3.mdx b/hfdocs/source/models/tf-inception-v3.mdx index 71f0e0cf..a5f402a9 100644 --- a/hfdocs/source/models/tf-inception-v3.mdx +++ b/hfdocs/source/models/tf-inception-v3.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `tf_inception_v3`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/tf-mixnet.mdx b/hfdocs/source/models/tf-mixnet.mdx index 6e92510c..d1ddda09 100644 --- a/hfdocs/source/models/tf-mixnet.mdx +++ b/hfdocs/source/models/tf-mixnet.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `tf_mixnet_l`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/tf-mobilenet-v3.mdx b/hfdocs/source/models/tf-mobilenet-v3.mdx index 59f5cc2d..3e8c6cba 100644 --- a/hfdocs/source/models/tf-mobilenet-v3.mdx +++ b/hfdocs/source/models/tf-mobilenet-v3.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `tf_mobilenetv3_large_075`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/tresnet.mdx b/hfdocs/source/models/tresnet.mdx index 27594ff1..f2d5729d 100644 --- a/hfdocs/source/models/tresnet.mdx +++ b/hfdocs/source/models/tresnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `tresnet_l`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/wide-resnet.mdx b/hfdocs/source/models/wide-resnet.mdx index 1a40c627..47969325 100644 --- a/hfdocs/source/models/wide-resnet.mdx +++ b/hfdocs/source/models/wide-resnet.mdx @@ -59,7 +59,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `wide_resnet101_2`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -73,7 +73,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation diff --git a/hfdocs/source/models/xception.mdx b/hfdocs/source/models/xception.mdx index 80b59b55..f67e482c 100644 --- a/hfdocs/source/models/xception.mdx +++ b/hfdocs/source/models/xception.mdx @@ -61,7 +61,7 @@ To get the top-5 predictions class names: Replace the model name with the variant you want to use, e.g. `xception`. You can find the IDs in the model summaries at the top of this page. -To extract image features with this model, follow the [timm feature extraction examples](https://rwightman.github.io/pytorch-image-models/feature_extraction/), just change the name of the model you want to use. +To extract image features with this model, follow the [timm feature extraction examples](../feature_extraction), just change the name of the model you want to use. ## How do I finetune this model? @@ -75,7 +75,7 @@ script](https://github.com/rwightman/pytorch-image-models/blob/master/train.py) ## How do I train this model? -You can follow the [timm recipe scripts](scripts) for training a new model afresh. +You can follow the [timm recipe scripts](../scripts) for training a new model afresh. ## Citation