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leonfrank
/
internlm-personal_assistant

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

Instructions to use leonfrank/internlm-personal_assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use leonfrank/internlm-personal_assistant with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="leonfrank/internlm-personal_assistant", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("leonfrank/internlm-personal_assistant", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
internlm-personal_assistant
14.6 GB
Ctrl+K
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  • 2 contributors
History: 4 commits
Yuliang Fang
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85246bb over 2 years ago
  • .gitattributes
    1.52 kB
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  • README.md
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  • config.json
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  • configuration_internlm.py
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  • generation_config.json
    132 Bytes
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  • modeling_internlm.py
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  • pytorch_model-00001-of-00008.bin
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  • pytorch_model-00008-of-00008.bin
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  • pytorch_model.bin.index.json
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  • special_tokens_map.json
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  • tokenization_internlm.py
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  • tokenizer.model
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  • tokenizer_config.json
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