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jupiterjjj
/
LawGLM3

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

Instructions to use jupiterjjj/LawGLM3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jupiterjjj/LawGLM3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jupiterjjj/LawGLM3", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jupiterjjj/LawGLM3", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LawGLM3
12.5 GB
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  • 1 contributor
History: 3 commits
jupiterjjj's picture
jupiterjjj
Upload 17 files
64c4bd5 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    116 Bytes
    Update README.md about 2 years ago
  • config.json
    1.49 kB
    Upload 17 files about 2 years ago
  • configuration_chatglm.py
    2.33 kB
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  • generation_config.json
    111 Bytes
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  • model-00001-of-00007.safetensors
    1.83 GB
    xet
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  • model-00002-of-00007.safetensors
    1.97 GB
    xet
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  • model-00003-of-00007.safetensors
    1.93 GB
    xet
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  • model-00004-of-00007.safetensors
    1.82 GB
    xet
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  • model-00005-of-00007.safetensors
    1.97 GB
    xet
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  • model-00006-of-00007.safetensors
    1.93 GB
    xet
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  • model-00007-of-00007.safetensors
    1.05 GB
    xet
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  • model.safetensors.index.json
    20.4 kB
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  • modeling_chatglm.py
    55.9 kB
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  • quantization.py
    14.7 kB
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  • special_tokens_map.json
    3 Bytes
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  • tokenization_chatglm.py
    13 kB
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  • tokenizer.model
    1.02 MB
    xet
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  • tokenizer_config.json
    1.59 kB
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