c692715388
Some RepVit tweaks
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* add head dropout to RepVit as all models have that arg
* default train to non-distilled head output via distilled_training flag (set_distilled_training) so fine-tune works by default w/o distillation script
* camel case naming tweaks to match other models
2023-08-09 12:41:12 -07:00
f6771909ff
Merge pull request #1903 from twmht/fix_num_classes
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fix num_classes not found in repvit
2023-08-07 16:35:36 -07:00
bb2b6b5f09
fix num_classes not found
2023-08-07 15:16:03 +08:00
81089b10a2
Remove unecessary LongTensor in EfficientFormer. Possibly maybe fix #1878
2023-08-03 16:38:53 -07:00
4224529ebe
Version 0.9.5 prep for release. README update
2023-08-03 15:16:46 -07:00
d138a9bf88
Add gluon hrnet small weights, fix #1895
2023-08-03 12:15:04 -07:00
76d166981d
Fix missing norm call in Mlp forward (not used by default, but can be enabled for normformer MLP scale). Fix #1851 fix #1852
2023-08-03 11:36:30 -07:00
8e4480e4b6
Patch and pos embed resample done in float32 always (cast to float and back). Fix #1811
2023-08-03 11:32:17 -07:00
150356c493
Fix unfortunate selecsls case bug caused by aggressive IDE rename
2023-08-03 10:37:06 -07:00
6e8c53d0d3
Comment out beit url, no longer valid as now require long query string, leave for reference, must use HF hub now.
2023-08-03 10:00:46 -07:00
3b8ef3f32f
Merge pull request #1890 from Separius/patch-1
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use float in resample_abs_pos_embed_nhwc
2023-07-28 21:47:26 -07:00
40a518c194
use float in resample_abs_pos_embed_nhwc
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since F.interpolate doesn't always support BFloat16
2023-07-28 16:01:42 -07:00
8cb0ddac45
Update README, version 0.9.4dev0
2023-07-27 17:07:31 -07:00
a9d0615f42
Fix ijepa vit issue with 448 model, minor formatting fixes
2023-07-26 20:46:27 -07:00
e590ec51b7
Merge pull request #1889 from twmht/import_lion
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import lion in __init__.py
2023-07-26 20:33:32 -07:00
942726db31
import lion in __init__.py
2023-07-27 09:26:57 +08:00
5874d1bfc7
Merge pull request #1876 from jameslahm/main
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Add RepViT models
2023-07-26 14:38:41 -07:00
b10310cc27
Add proper pool size for new resnexts
2023-07-26 14:36:03 -07:00
b71d60cdb7
Two small fixes, num_classes in base class, add model tag
2023-07-26 13:18:49 -07:00
3561f8e885
Add seresnextaa201d_32x8d 12k and 1k weights
2023-07-26 13:17:05 -07:00
3318e7614d
Add RepViT models
2023-07-21 14:56:53 +08:00
394e814555
Merge pull request #1866 from lRomul/replace_deprecated_np_types
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Replace deprecated NumPy aliases of builtin types
2023-07-07 16:07:50 -07:00
158bf129c4
Replace deprecated NumPy aliases of builtin types
2023-07-03 22:24:25 +03:00
c241081251
Merge pull request #1850 from huggingface/effnet_improve_features_only
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Support other features only modes for EfficientNet. Fix #1848 fix #1849
2023-06-23 22:56:08 -07:00
f9a24fa19f
Merge pull request #1846 from seefun/master
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add I-JEPA pretrained weight for ViT
2023-06-15 11:12:53 -07:00
47517dbefd
Clean more feature extract issues
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* EfficientNet/MobileNetV3/HRNetFeatures cls and FX mode support -ve index
* MobileNetV3 allows feature_cfg mode to bypass MobileNetV3Features
2023-06-14 14:46:22 -07:00
a09c88ed0f
Support other features only modes for EfficientNet
2023-06-14 12:57:39 -07:00
c3f24a5ae5
‘add ViT weight from I-JEPA pretrain’
2023-06-14 22:30:31 +08:00
2d597b126d
Missed extra nadam algo step for capturable path
2023-06-13 20:51:31 -07:00
4790c0fa16
Missed nadamw.py
2023-06-13 20:45:58 -07:00
dab0360e00
Add NadamW based on mlcommons algorithm, added multi-tensor step
2023-06-13 20:45:17 -07:00
fb4f220c2e
Merge pull request #1841 from mishig25/update-doc-build-actions
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[doc build] Use secrets
2023-06-09 07:04:06 -07:00
3ebbe172ec
[doc build] Use secrets
2023-06-09 10:47:32 +02:00
2d0dbd17e3
Merge pull request #1837 from lorenzbaraldi/fix_help_string
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Changed help_string of args worker
2023-06-02 09:22:32 -07:00
700aebcdc4
Fix Pytorch 2.0 breakage for Lookahead optimizer adapter
2023-06-02 08:39:07 -07:00
13d5b21ecd
Changed help_string of --worker
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It seems like 4 is the correct default value
2023-06-01 17:27:51 +02:00
cd950e6583
Merge pull request #1823 from leng-yue/fix-layer-scale
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[Fix] Update dinov2 layerscale init values
2023-05-24 17:40:44 -07:00
c308dbc6f2
update dinov2 layerscale init values
2023-05-24 12:20:17 -04:00
049b133253
Add 0.9 imagenet and ood test set results files
2023-05-24 09:02:25 -07:00
7cea88e2c4
Pop eps for lion optimizer
2023-05-21 15:20:03 -07:00
9fcc01930a
Merge pull request #1812 from seefun/master
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add ViT for Segment-Anything Model
2023-05-18 18:46:13 -07:00
e9373b1b92
Cleanup before samvit merge. Resize abs posembed on the fly, undo some line-wraps, remove redundant unbind, fix HF hub weight load
2023-05-18 16:43:48 -07:00
c1c6eeb909
fix loading pretrained weight for samvit
2023-05-18 08:49:29 +08:00
15de561f2c
fix unit test for samvit
2023-05-17 12:51:12 +08:00
ea1f52df3e
add ViT for Segment-Anything Model
2023-05-17 11:39:29 +08:00
960202cfcc
Dev version 0.9.3 for main
2023-05-16 11:28:00 -07:00
c5d3ee47f3
Add B/16 datacompxl CLIP weights
2023-05-16 11:27:20 -07:00
3d05c0e86f
Version 0.9.2
2023-05-14 08:03:04 -07:00
ccb9dc4ec4
Merge pull request #1804 from philipsgithub/patch-1
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Update hub.py
2023-05-12 14:15:45 -07:00
fc77e9ecc5
Update hub.py
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fixed import of _hub modules
2023-05-12 21:48:46 +02:00
Ross Wightman
Ross Wightman
alec.tu
Sepehr Sameni
jameslahm
Ruslan Baikulov
SeeFun
Mishig
Lorenzo Baraldi
Lengyue
方曦
Philip Keller