New 
text
New 
timm
`timm`
inline_code
 1.0.13  and 
text
 1.0.13  and 
OpenCLIP
`OpenCLIP`
inline_code
 2.30.0 releases to start the year. Both modest but worthwhile updates.
text
 2.30.0 releases to start the year. Both modest but worthwhile updates.
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timm
`timm`
inline_code
 added a number of new model weights, supporting loading of: 
text
 added a number of new model weights, supporting loading of: 
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* PaliGemma2 encoders (ported from 
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* PaliGemma2 encoders (ported from 
https://huggingface.co/collections/google/paligemma-2-release-67500e1e1dbfdd4dee27ba48
google/paligemma-2-release-67500e1e1dbfdd4dee27ba48
collection
resource
https://huggingface.co/collections/google/paligemma-2-release-67500e1e1dbfdd4dee27ba48
)
text
)
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* AIMv-2 encoders (ported from 
text
* AIMv-2 encoders (ported from 
https://huggingface.co/collections/apple/aimv2-6720fe1558d94c7805f7688c
apple/aimv2-6720fe1558d94c7805f7688c
collection
resource
https://huggingface.co/collections/apple/aimv2-6720fe1558d94c7805f7688c
)
text
)
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A few higher resolution 384x384 ConvNeXt-Nano ImageNet-12k pretrain & finetunes. See other changes here: 
text
A few higher resolution 384x384 ConvNeXt-Nano ImageNet-12k pretrain & finetunes. See other changes here: 
https://github.com/huggingface/pytorch-image-models/releases/tag/v1.0.13
https://github.com/huggingface/pytorch-image-models/releases/tag/v1.0.13
link
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And support added in both 
text
And support added in both 
OpenCLIP
`OpenCLIP`
inline_code
 and 
text
 and 
timm
`timm`
inline_code
 for two CLIP models that were missed. The DFN L/14 is 🔥
text
 for two CLIP models that were missed. The DFN L/14 is 🔥
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* DFN CLIP L/14 w/ 39B samples seen - 
text
* DFN CLIP L/14 w/ 39B samples seen - 
https://huggingface.co/apple/DFN2B-CLIP-ViT-L-14-39B
apple/DFN2B-CLIP-ViT-L-14-39B
model
resource
https://huggingface.co/apple/DFN2B-CLIP-ViT-L-14-39B
, 
text
, 
https://huggingface.co/timm/vit_large_patch14_clip_224.dfn2b_s39b
timm/vit_large_patch14_clip_224.dfn2b_s39b
model
resource
https://huggingface.co/timm/vit_large_patch14_clip_224.dfn2b_s39b
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* MetaCLIP H/14 (altogether) - 
text
* MetaCLIP H/14 (altogether) - 
https://huggingface.co/timm/vit_huge_patch14_clip_224.metaclip_altogether
timm/vit_huge_patch14_clip_224.metaclip_altogether
model
resource
https://huggingface.co/timm/vit_huge_patch14_clip_224.metaclip_altogether
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And last, ~70-80 models that were relying on 
text
And last, ~70-80 models that were relying on 
timm
`timm`
inline_code
 remapping from OpenCLIP got their own timm hub instances to allow use with the upcoming Transformers 
text
 remapping from OpenCLIP got their own timm hub instances to allow use with the upcoming Transformers 
TimmWrapperModel
`TimmWrapperModel`
inline_code
New `timm` 1.0.13  and `OpenCLIP` 2.30.0 releases to start the year. Both modest but worthwhile updates.

`timm` added a number of new model weights, supporting loading of: 
* PaliGemma2 encoders (ported from https://huggingface.co/collections/google/paligemma-2-release-67500e1e1dbfdd4dee27ba48)
* AIMv-2 encoders (ported from https://huggingface.co/collections/apple/aimv2-6720fe1558d94c7805f7688c)

A few higher resolution 384x384 ConvNeXt-Nano ImageNet-12k pretrain & finetunes. See other changes here: https://github.com/huggingface/pytorch-image-models/releases/tag/v1.0.13

And support added in both `OpenCLIP` and `timm` for two CLIP models that were missed. The DFN L/14 is 🔥
* DFN CLIP L/14 w/ 39B samples seen - https://huggingface.co/apple/DFN2B-CLIP-ViT-L-14-39B, https://huggingface.co/timm/vit_large_patch14_clip_224.dfn2b_s39b
* MetaCLIP H/14 (altogether) - https://huggingface.co/timm/vit_huge_patch14_clip_224.metaclip_altogether

And last, ~70-80 models that were relying on `timm` remapping from OpenCLIP got their own timm hub instances to allow use with the upcoming Transformers `TimmWrapperModel`
🚀
John6666 joseph-bou