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facebook
/
regnet-y-10b-seer

Image Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
regnet
vision
seer
Model card Files Files and versions
xet
Community
2

Instructions to use facebook/regnet-y-10b-seer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/regnet-y-10b-seer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="facebook/regnet-y-10b-seer")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("facebook/regnet-y-10b-seer")
    model = AutoModel.from_pretrained("facebook/regnet-y-10b-seer", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
regnet-y-10b-seer
74.6 GB
Ctrl+K
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  • 3 contributors
History: 10 commits
nielsr's picture
nielsr HF Staff
Update README.md
6d21a91 about 4 years ago
  • .gitattributes
    1.22 kB
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  • README.md
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  • config.json
    69.6 kB
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  • preprocessor_config.json
    266 Bytes
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  • pytorch_model-00001-of-00004.bin
    9.77 GB
    xet
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  • pytorch_model-00002-of-00004.bin
    9.83 GB
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  • pytorch_model-00003-of-00004.bin
    9.83 GB
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  • pytorch_model-00004-of-00004.bin
    7.87 GB
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  • pytorch_model.bin.index.json
    62.7 kB
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  • tf_model-00001-of-00004.h5
    9.77 GB
    xet
    Add TF weights (#1) about 4 years ago
  • tf_model-00002-of-00004.h5
    9.83 GB
    xet
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  • tf_model-00003-of-00004.h5
    9.83 GB
    xet
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  • tf_model-00004-of-00004.h5
    7.87 GB
    xet
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  • tf_model.h5.index.json
    64.1 kB
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