6e5553da5f
Add ConvNeXt-V2 support (model additions and weights) ( #1614 )
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* Add ConvNeXt-V2 support (model additions and weights)
* ConvNeXt-V2 weights on HF Hub, tweaking some tests
* Update README, fixing convnextv2 tests
2 years ago
3698e79ac5
🐛 fix github source links in hf docs
2 years ago
9f5bba9ef9
Structure Hugging Face Docs ( #1575 )
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* 🎨 structure docs
* 🚧 wip docs
* 📝 add installation doc
* 📝 wip docs
* 📝 wip docs
* 📝 wip docs
* 📝 wip docs
* 📝 wip docs
* 📝 add basic reference docs
* 📝 remove augmentation from toctree
* 👷 update pr doc builder to bugfix branch
* 📝 wip docs
* 🚧 wip
* 👷 bump CI
* 🚧 wip
* 🚧 bump CI
* 🚧 wip
* 🚧 wip
* 🚧 wip
* 📝 add hf hub tutorial doc
* 🔥 remove inference tut
* 🚧 wip
* 📝 wip docs
* 📝 wip docs
* 📝 update docs
* 📝 move validation script doc up in order
* 🎨 restructure to remove legacy docs
* 📝 update index doc
* 📝 update number of pretrained models
* Update hfdocs/README.md
* Update .github/workflows/build_pr_documentation.yml
* Update build_pr_documentation.yml
* bump
* 📌 update gh action to use main branch
* 🔥 remove comment
2 years ago
960f5f92e6
Update results csv with latest val/test set runs
2 years ago
6902c48a5f
Fix ResNet based models to work w/ norm layers w/o affine params. Reformat long arg lists into vertical form.
2 years ago
d5aa17e415
Remove print from auto_augment
2 years ago
7c846d9970
Better vmap compat across recent torch versions
2 years ago
130458988a
Update README.md
2 years ago
d96538f1d2
Update README
2 years ago
4e24f75289
Merge pull request #1593 from rwightman/multi-weight_effnet_convnext
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Update efficientnet.py and convnext.py to multi-weight, add new 12k pretrained weights
2 years ago
8ece53e194
Switch BEiT to HF hub weights
2 years ago
d1bfa9a000
Support HF datasets and TFSD w/ a sub-path by fixing split, fix #1598 ... add class mapping support to HF datasets in case class label isn't in info.
2 years ago
35fb00c779
Add flexivit to non-std tests list
2 years ago
e2fc43bc63
Version 0.8.2dev0
2 years ago
9a51e4ea2e
Add FlexiViT models and weights, refactoring, push more weights
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* push all vision_transformer*.py weights to HF hub
* finalize more pretrained tags for pushed weights
* refactor pos_embed files and module locations, move some pos embed modules to layers
* tweak hf hub helpers to aid bulk uploading and updating
2 years ago
656e1776de
Convert mobilenetv3 to multi-weight, tweak PretrainedCfg metadata
2 years ago
18ec173f95
Merge pull request #1592 from twmht/add_adan_to_init
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Add Adan to __init__.py
2 years ago
6a01101905
Update efficientnet.py and convnext.py to multi-weight, add ImageNet-12k pretrained EfficientNet-B5 and ConvNeXt-Nano.
2 years ago
74d6afb4cd
Add Adan to __init__.py
2 years ago
e7da205345
Fix aa min_max level clamp
2 years ago
e3b2f5be0a
Add 3-Augment support to auto_augment.py, clean up weighted choice handling, and allow adjust per op prob via arg string
2 years ago
e98c93264c
Merge pull request #1581 from rwightman/refactor-imports
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Major module / path restructure
2 years ago
d5e7d6b27e
Merge remote-tracking branch 'origin/main' into refactor-imports
2 years ago
cda39b35bd
Add a deprecation phase to module re-org
2 years ago
0fe90449e5
Update README.md
2 years ago
1733177c75
Update README.md
2 years ago
9e47d8ad59
Update README.md
2 years ago
f266f841a0
Merge pull request #1586 from lorenzbaraldi/eval_loss
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Put validation loss under amp_autocast
2 years ago
3d6bc42aa1
Put validation loss under amp_autocast
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Secured the loss evaluation under the amp, avoiding function to operate on float16
2 years ago
7c4ed4d5a4
Add EVA-large models
2 years ago
6a92587e0d
Update README.md
2 years ago
98047ef5e3
Add EVA FT results, hopefully fix BEiT test failures
2 years ago
3cc4d7a894
Fix missing register for 224 eva model
2 years ago
eba07b0de7
Add eva models to beit.py
2 years ago
927f031293
Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models
2 years ago
da6644b6ba
Update README.md
2 years ago
61531f091e
Update multi-weight release README
2 years ago
3785c234d7
Remove clip vit models that won't be ft and comment two that aren't uploaded yet
2 years ago
f82239b30e
multi-weight branch version -> 0.8.0dev
2 years ago
755570e2d6
Rename _pretrained.py -> pretrained.py, not feasible to change the other files to same scheme without breaking uses
2 years ago
72cfa57761
Add ported Tensorflow MaxVit weights. Add a few more CLIP ViT fine-tunes. Tweak some model tag names. Improve model tag name sorting. Update HF hub push config layout.
2 years ago
dbe7531aa3
Update scripts to support torch.compile(). Make --results_file arg more consistent across benchmark/validate/inference. Fix #1570
2 years ago
05637a4bb0
More inference script changes, arg naming, multiple output fmts at once
2 years ago
eceeb9409a
Significant ugprade to inference.py, support for different formats, formatting, etc.
2 years ago
4d5c395160
MaxVit, ViT, ConvNeXt, and EfficientNet-v2 updates
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* Add support for TF weights and modelling specifics to MaxVit (testing ported weights)
* More fine-tuned CLIP ViT configs
* ConvNeXt and MaxVit updated to new pretrained cfgs use
* EfficientNetV2, MaxVit and ConvNeXt high res models use squash crop/resize
2 years ago
3db4e346e0
Switch TFDS dataset to use INTEGER_ACCURATE jpeg decode by default
2 years ago
9da7e3a799
Add crop_mode for pretraind config / image transforms. Add support for dynamo compilation to benchmark/train/validate
2 years ago
8fca002c06
Add ImageNet22k and 12k subset sysnet/index maps
2 years ago
b2b6285af7
Add two more FT clip weights
2 years ago
5895056dc4
Add openai b32 ft
2 years ago
Ross Wightman