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Add in12k fine-tuned convnext_xxlarge

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Ross Wightman 2023-11-03 14:33:54 -07:00
parent 855719fca6
commit d3e83a190f
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README.md
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@ -31,6 +31,7 @@
* DINOv2 'register' ViT model weights added * DINOv2 'register' ViT model weights added
* Add `quickgelu` ViT variants for OpenAI, DFN, MetaCLIP weights that use it (less efficient) * Add `quickgelu` ViT variants for OpenAI, DFN, MetaCLIP weights that use it (less efficient)
* Improved typing added to ResNet, MobileNet-v3 thanks to [Aryan](https://github.com/a-r-r-o-w) * Improved typing added to ResNet, MobileNet-v3 thanks to [Aryan](https://github.com/a-r-r-o-w)
* ImageNet-12k fine-tuned (from LAION-2B CLIP) `convnext_xxlarge`
* 0.9.9 release * 0.9.9 release
### Oct 20, 2023 ### Oct 20, 2023

4
timm/models/convnext.py
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@ -828,6 +828,10 @@ default_cfgs = generate_default_cfgs({
hf_hub_id='timm/', hf_hub_id='timm/',
mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, num_classes=11821, mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, num_classes=11821,
input_size=(3, 384, 384), pool_size=(12, 12), crop_pct=1.0, crop_mode='squash'), input_size=(3, 384, 384), pool_size=(12, 12), crop_pct=1.0, crop_mode='squash'),
'convnext_xxlarge.clip_laion2b_soup_ft_in12k': _cfg(
hf_hub_id='timm/',
mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, num_classes=11821,
input_size=(3, 256, 256), pool_size=(8, 8), crop_pct=1.0),
# CLIP original image tower weights # CLIP original image tower weights
'convnext_base.clip_laion2b': _cfg( 'convnext_base.clip_laion2b': _cfg(