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naver
/
cocom-v1-128-mistral-7b

Feature Extraction
Transformers
Safetensors
English
COCOM
custom_code
Model card Files Files and versions
xet
Community
2

Instructions to use naver/cocom-v1-128-mistral-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use naver/cocom-v1-128-mistral-7b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="naver/cocom-v1-128-mistral-7b", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("naver/cocom-v1-128-mistral-7b", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
cocom-v1-128-mistral-7b
14.6 GB
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  • 1 contributor
History: 6 commits
sclincha's picture
sclincha
Update README.md
ff7d9b7 verified almost 2 years ago
  • .gitattributes
    1.52 kB
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  • README.md
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  • cocom.png
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  • config.json
    669 Bytes
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  • generation_config.json
    94 Bytes
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  • model-00001-of-00003.safetensors
    4.97 GB
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  • model-00002-of-00003.safetensors
    5 GB
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  • model-00003-of-00003.safetensors
    4.6 GB
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  • model.safetensors.index.json
    87.9 kB
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  • modeling_cocom.py
    15.6 kB
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