♻️ old doc links -> new doc links

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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
 

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