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Plasmarine
/
COCOM-CNTT

Feature Extraction
Transformers
Safetensors
English
COCOM
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Plasmarine/COCOM-CNTT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Plasmarine/COCOM-CNTT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Plasmarine/COCOM-CNTT", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Plasmarine/COCOM-CNTT", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
COCOM-CNTT
14.6 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
Plasmarine's picture
Plasmarine
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  • .gitattributes
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    initial commit over 1 year ago
  • README.md
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  • cocom.png
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  • config.json
    692 Bytes
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  • generation_config.json
    99 Bytes
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  • model-00001-of-00003.safetensors
    4.97 GB
    xet
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  • model-00002-of-00003.safetensors
    5 GB
    xet
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  • model-00003-of-00003.safetensors
    4.6 GB
    xet
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  • model.safetensors.index.json
    88.7 kB
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  • modeling_cocom.py
    15.9 kB
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