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Add in12k fine-tuned convnext_xxlarge
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rwightman committed Nov 3, 2023
1 parent 855719f commit d3e83a1
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1 change: 1 addition & 0 deletions README.md
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* DINOv2 'register' ViT model weights added
* 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)
* ImageNet-12k fine-tuned (from LAION-2B CLIP) `convnext_xxlarge`
* 0.9.9 release

### Oct 20, 2023
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4 changes: 4 additions & 0 deletions timm/models/convnext.py
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Expand Up @@ -828,6 +828,10 @@ def _cfgv2(url='', **kwargs):
hf_hub_id='timm/',
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'),
'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
'convnext_base.clip_laion2b': _cfg(
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