content.raw: New 
content.type: text
content.value: New 
content.code: timm
content.raw: `timm`
content.type: inline_code
content.raw:  1.0.13  and 
content.type: text
content.value:  1.0.13  and 
content.code: OpenCLIP
content.raw: `OpenCLIP`
content.type: inline_code
content.raw:  2.30.0 releases to start the year. Both modest but worthwhile updates.
content.type: text
content.value:  2.30.0 releases to start the year. Both modest but worthwhile updates.
content.type: new_line
content.type: new_line
content.code: timm
content.raw: `timm`
content.type: inline_code
content.raw:  added a number of new model weights, supporting loading of: 
content.type: text
content.value:  added a number of new model weights, supporting loading of: 
content.type: new_line
content.raw: * PaliGemma2 encoders (ported from 
content.type: text
content.value: * PaliGemma2 encoders (ported from 
content.raw: https://huggingface.co/collections/google/paligemma-2-release-67500e1e1dbfdd4dee27ba48
content.id: google/paligemma-2-release-67500e1e1dbfdd4dee27ba48
content.type: collection
content.type: resource
content.url: https://huggingface.co/collections/google/paligemma-2-release-67500e1e1dbfdd4dee27ba48
content.raw: )
content.type: text
content.value: )
content.type: new_line
content.raw: * AIMv-2 encoders (ported from 
content.type: text
content.value: * AIMv-2 encoders (ported from 
content.raw: https://huggingface.co/collections/apple/aimv2-6720fe1558d94c7805f7688c
content.id: apple/aimv2-6720fe1558d94c7805f7688c
content.type: collection
content.type: resource
content.url: https://huggingface.co/collections/apple/aimv2-6720fe1558d94c7805f7688c
content.raw: )
content.type: text
content.value: )
content.type: new_line
content.type: new_line
content.raw: A few higher resolution 384x384 ConvNeXt-Nano ImageNet-12k pretrain & finetunes. See other changes here: 
content.type: text
content.value: A few higher resolution 384x384 ConvNeXt-Nano ImageNet-12k pretrain & finetunes. See other changes here: 
content.href: https://github.com/huggingface/pytorch-image-models/releases/tag/v1.0.13
content.raw: https://github.com/huggingface/pytorch-image-models/releases/tag/v1.0.13
content.type: link
content.type: new_line
content.type: new_line
content.raw: And support added in both 
content.type: text
content.value: And support added in both 
content.code: OpenCLIP
content.raw: `OpenCLIP`
content.type: inline_code
content.raw:  and 
content.type: text
content.value:  and 
content.code: timm
content.raw: `timm`
content.type: inline_code
content.raw:  for two CLIP models that were missed. The DFN L/14 is 🔥
content.type: text
content.value:  for two CLIP models that were missed. The DFN L/14 is 🔥
content.type: new_line
content.raw: * DFN CLIP L/14 w/ 39B samples seen - 
content.type: text
content.value: * DFN CLIP L/14 w/ 39B samples seen - 
content.raw: https://huggingface.co/apple/DFN2B-CLIP-ViT-L-14-39B
content.id: apple/DFN2B-CLIP-ViT-L-14-39B
content.type: model
content.type: resource
content.url: https://huggingface.co/apple/DFN2B-CLIP-ViT-L-14-39B
content.raw: , 
content.type: text
content.value: , 
content.raw: https://huggingface.co/timm/vit_large_patch14_clip_224.dfn2b_s39b
content.id: timm/vit_large_patch14_clip_224.dfn2b_s39b
content.type: model
content.type: resource
content.url: https://huggingface.co/timm/vit_large_patch14_clip_224.dfn2b_s39b
content.type: new_line
content.raw: * MetaCLIP H/14 (altogether) - 
content.type: text
content.value: * MetaCLIP H/14 (altogether) - 
content.raw: https://huggingface.co/timm/vit_huge_patch14_clip_224.metaclip_altogether
content.id: timm/vit_huge_patch14_clip_224.metaclip_altogether
content.type: model
content.type: resource
content.url: https://huggingface.co/timm/vit_huge_patch14_clip_224.metaclip_altogether
content.type: new_line
content.type: new_line
content.raw: And last, ~70-80 models that were relying on 
content.type: text
content.value: And last, ~70-80 models that were relying on 
content.code: timm
content.raw: `timm`
content.type: inline_code
content.raw:  remapping from OpenCLIP got their own timm hub instances to allow use with the upcoming Transformers 
content.type: text
content.value:  remapping from OpenCLIP got their own timm hub instances to allow use with the upcoming Transformers 
content.code: TimmWrapperModel
content.raw: `TimmWrapperModel`
content.type: inline_code
rawContent: 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`
reactions.reaction: 🚀
reactions.users: John6666 joseph-bou