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yydxlv
/
colphi3.5

Feature Extraction
Transformers
Safetensors
vidore
Model card Files Files and versions
xet
Community

Instructions to use yydxlv/colphi3.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yydxlv/colphi3.5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="yydxlv/colphi3.5")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yydxlv/colphi3.5", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
colphi3.5
257 MB
Ctrl+K
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  • 1 contributor
History: 9 commits
yydxlv's picture
yydxlv
Delete training_args.bin
1ccd918 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.03 kB
    Update README.md over 1 year ago
  • adapter_config.json
    777 Bytes
    End of training over 1 year ago
  • adapter_model.bin

    Detected Pickle imports (3)

    • "torch.BFloat16Storage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    127 MB
    xet
    End of training over 1 year ago
  • adapter_model.safetensors
    127 MB
    xet
    Upload 8 files over 1 year ago
  • chat_template.json
    249 Bytes
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  • git_hash.txt
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  • preprocessor_config.json
    446 Bytes
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  • results.json
    23.3 kB
    Update results.json over 1 year ago
  • special_tokens_map.json
    670 Bytes
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  • tokenizer.json
    3.63 MB
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  • tokenizer_config.json
    9.57 kB
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