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singhshiva
/
bf16cpm

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

Instructions to use singhshiva/bf16cpm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use singhshiva/bf16cpm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="singhshiva/bf16cpm", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("singhshiva/bf16cpm", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bf16cpm
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  • 1 contributor
History: 2 commits
singhshiva's picture
singhshiva
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  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
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  • config.json
    1.48 kB
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  • generation_config.json
    121 Bytes
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  • model-00001-of-00004.safetensors
    4.87 GB
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  • model-00002-of-00004.safetensors
    4.93 GB
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  • model-00003-of-00004.safetensors
    4.33 GB
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  • model-00004-of-00004.safetensors
    2.06 GB
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  • model.safetensors.index.json
    66.8 kB
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