timm
/

Image Feature Extraction
timm
PyTorch
Safetensors
Transformers

Add project page link

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by nielsr HF Staff - opened
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  1. README.md +5 -2
README.md CHANGED
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  ---
 
 
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  tags:
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  - image-feature-extraction
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  - timm
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  - transformers
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- library_name: timm
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- license: apache-2.0
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  ---
 
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  # Model Details
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  This is a `timm` remapped, image encoder only variant of the original weights.
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  [\[πŸ“ƒ Tech Report\]](https://arxiv.org/abs/2504.13181)
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  [\[πŸ“‚ Github\]](https://github.com/facebookresearch/perception_models/)
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  Perception Encoder (PE) is a state-of-the-art encoder for image and video understanding trained via simple vision-language learning. It was introduced in "[Perception Encoder: The best visual embeddings
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  are not at the output of the network](https://ai.meta.com/research/publications/perception-encoder-the-best-visual-embeddings-are-not-at-the-output-of-the-network/)".
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  ---
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+ library_name: timm
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+ license: apache-2.0
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  tags:
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  - image-feature-extraction
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  - timm
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  - transformers
 
 
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  ---
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+
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  # Model Details
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  This is a `timm` remapped, image encoder only variant of the original weights.
 
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  [\[πŸ“ƒ Tech Report\]](https://arxiv.org/abs/2504.13181)
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  [\[πŸ“‚ Github\]](https://github.com/facebookresearch/perception_models/)
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+ Project page: https://ai.meta.com/datasets/plm-data/
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+
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  Perception Encoder (PE) is a state-of-the-art encoder for image and video understanding trained via simple vision-language learning. It was introduced in "[Perception Encoder: The best visual embeddings
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  are not at the output of the network](https://ai.meta.com/research/publications/perception-encoder-the-best-visual-embeddings-are-not-at-the-output-of-the-network/)".
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