Zero-Shot Image Classification
Transformers
Safetensors
siglip
vision
Inference Endpoints
Merve Noyan commited on
Commit
0cb65d4
1 Parent(s): 932e6d2

model with identity compat with main

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Files changed (4) hide show
  1. .gitattributes +0 -35
  2. README.md +0 -2
  3. config.json +0 -1
  4. model.safetensors +2 -2
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README.md CHANGED
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  example_title: Cat & Dog
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  ---
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- **Note**: This is not yet supported in transformers, install transformers from [here](https://github.com/huggingface/transformers/pull/32938) if you want to try it.
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-
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  # SigLIP (shape-optimized model)
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  SigLIP model pre-trained on WebLi at resolution 384x384. It was introduced in the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Zhai et al. and first released in [this repository](https://github.com/google-research/big_vision).
 
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  example_title: Cat & Dog
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  ---
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  # SigLIP (shape-optimized model)
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  SigLIP model pre-trained on WebLi at resolution 384x384. It was introduced in the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Zhai et al. and first released in [this repository](https://github.com/google-research/big_vision).
config.json CHANGED
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  "initializer_factor": 1.0,
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  "model_type": "siglip",
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  "hidden_size": 1152,
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  "intermediate_size": 4304,
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  "model_type": "siglip_text_model",
 
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  "initializer_factor": 1.0,
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  "model_type": "siglip",
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  "text_config": {
 
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  "hidden_size": 1152,
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  "intermediate_size": 4304,
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  "model_type": "siglip_text_model",
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