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HongzheBi
/
ChatGLM-6b-Lora-Combined

Feature Extraction
Transformers
PyTorch
chatglm
custom_code
Model card Files Files and versions
xet
Community

Instructions to use HongzheBi/ChatGLM-6b-Lora-Combined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HongzheBi/ChatGLM-6b-Lora-Combined with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="HongzheBi/ChatGLM-6b-Lora-Combined", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("HongzheBi/ChatGLM-6b-Lora-Combined", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ChatGLM-6b-Lora-Combined
37.1 kB
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  • 1 contributor
History: 2 commits
HongzheBi's picture
HongzheBi
Upload 6 files
e3f4f16 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    924 Bytes
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  • generation_config.json
    142 Bytes
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  • pytorch_model-00001-of-00015.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    537 Bytes
    xet
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  • pytorch_model.bin.index.json
    33.4 kB
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    513 Bytes
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