1825b5e314
maxxvit type
2023-01-09 08:57:31 -08:00
5078b28f8a
More kwarg handling tweaks, maxvit_base_rw def added
2023-01-09 08:57:31 -08:00
c0d7388a1b
Improving kwarg merging in more models
2023-01-09 08:57:31 -08:00
94a91598c3
Update README.md
2023-01-06 21:39:25 -08:00
d2ef5a3a94
Update README.md
2023-01-06 21:38:40 -08:00
ae9153052f
Update version.py
2023-01-06 17:17:35 -08:00
60ebb6cefa
Re-order vit pretrained entries for more sensible default weights (no .tag specified)
2023-01-06 16:12:33 -08:00
e861b74cf8
Pass through --model-kwargs (and --opt-kwargs for train) from command line through to model __init__. Update some models to improve arg overlay. Cleanup along the way.
2023-01-06 16:12:33 -08:00
add3fb864e
Working on improved model card template for push_to_hf_hub
2023-01-06 16:12:33 -08:00
13c7183c52
Update installation.mdx
2023-01-06 09:16:43 -08:00
eb83eb3bd1
Rotate changelogs, add redirects to mkdocs -> equivalent HF docs pages
2023-01-05 17:27:13 -08:00
dd0bb327e9
Update version.py
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Ver 0.8.4dev0
2023-01-05 07:55:18 -08:00
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
2023-01-05 07:53:32 -08:00
3698e79ac5
🐛 fix github source links in hf docs
2023-01-04 09:42:05 -08:00
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
2023-01-03 14:13:53 -08:00
960f5f92e6
Update results csv with latest val/test set runs
2022-12-30 15:42:41 -08:00
6902c48a5f
Fix ResNet based models to work w/ norm layers w/o affine params. Reformat long arg lists into vertical form.
2022-12-29 16:32:26 -08:00
d5aa17e415
Remove print from auto_augment
2022-12-28 17:11:35 -08:00
7c846d9970
Better vmap compat across recent torch versions
2022-12-24 14:37:04 -08:00
130458988a
Update README.md
2022-12-23 15:20:43 -08:00
d96538f1d2
Update README
2022-12-23 15:19:54 -08:00
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
2022-12-23 10:09:08 -08:00
8ece53e194
Switch BEiT to HF hub weights
2022-12-22 21:43:04 -08:00
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.
2022-12-22 21:34:13 -08:00
35fb00c779
Add flexivit to non-std tests list
2022-12-22 21:32:31 -08:00
e2fc43bc63
Version 0.8.2dev0
2022-12-22 17:34:09 -08:00
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
2022-12-22 17:23:09 -08:00
656e1776de
Convert mobilenetv3 to multi-weight, tweak PretrainedCfg metadata
2022-12-16 09:29:13 -08:00
18ec173f95
Merge pull request #1592 from twmht/add_adan_to_init
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Add Adan to __init__.py
2022-12-14 20:43:12 -08:00
6a01101905
Update efficientnet.py and convnext.py to multi-weight, add ImageNet-12k pretrained EfficientNet-B5 and ConvNeXt-Nano.
2022-12-14 20:33:23 -08:00
74d6afb4cd
Add Adan to __init__.py
2022-12-15 11:37:29 +08:00
e7da205345
Fix aa min_max level clamp
2022-12-10 16:43:28 -08:00
e3b2f5be0a
Add 3-Augment support to auto_augment.py, clean up weighted choice handling, and allow adjust per op prob via arg string
2022-12-10 16:25:50 -08:00
e98c93264c
Merge pull request #1581 from rwightman/refactor-imports
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Major module / path restructure
2022-12-10 14:35:48 -08:00
d5e7d6b27e
Merge remote-tracking branch 'origin/main' into refactor-imports
2022-12-09 14:49:44 -08:00
cda39b35bd
Add a deprecation phase to module re-org
2022-12-09 14:39:45 -08:00
0fe90449e5
Update README.md
2022-12-09 11:21:46 -08:00
1733177c75
Update README.md
2022-12-09 11:14:35 -08:00
9e47d8ad59
Update README.md
2022-12-09 11:13:37 -08:00
f266f841a0
Merge pull request #1586 from lorenzbaraldi/eval_loss
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Put validation loss under amp_autocast
2022-12-09 04:29:37 -08:00
3d6bc42aa1
Put validation loss under amp_autocast
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Secured the loss evaluation under the amp, avoiding function to operate on float16
2022-12-09 12:03:23 +01:00
7c4ed4d5a4
Add EVA-large models
2022-12-08 16:21:30 -08:00
6a92587e0d
Update README.md
2022-12-07 09:34:21 -08:00
98047ef5e3
Add EVA FT results, hopefully fix BEiT test failures
2022-12-07 08:54:06 -08:00
3cc4d7a894
Fix missing register for 224 eva model
2022-12-07 08:54:06 -08:00
eba07b0de7
Add eva models to beit.py
2022-12-07 08:54:06 -08:00
927f031293
Major module / path restructure, timm.models.layers -> timm.layers, add _ prefix to all non model modules in timm.models
2022-12-06 15:00:06 -08:00
da6644b6ba
Update README.md
2022-12-05 10:21:34 -08:00
61531f091e
Update multi-weight release README
2022-12-05 10:21:34 -08:00
3785c234d7
Remove clip vit models that won't be ft and comment two that aren't uploaded yet
2022-12-05 10:21:34 -08:00
Ross Wightman
Ross Wightman
Xa9aX ツ
nateraw
alec.tu
Lorenzo Baraldi