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qihoo360
/
360Zhinao3-7B-Instruct

Feature Extraction
Transformers
Safetensors
Chinese
English
zhinao
qihoo360
奇虎360
360Zhinao
pretrain
custom_code
Model card Files Files and versions
xet
Community

Instructions to use qihoo360/360Zhinao3-7B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use qihoo360/360Zhinao3-7B-Instruct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="qihoo360/360Zhinao3-7B-Instruct", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("qihoo360/360Zhinao3-7B-Instruct", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
360Zhinao3-7B-Instruct
15.6 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
gxc-360's picture
gxc-360
Update README.md
c837c93 verified over 1 year ago
  • vocab
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  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    19.7 kB
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  • config.json
    1.41 kB
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  • configuration_zhinao.py
    5.62 kB
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  • generation_config.json
    255 Bytes
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  • model-00001-of-00004.safetensors
    4.99 GB
    xet
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  • model-00002-of-00004.safetensors
    5 GB
    xet
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  • model-00003-of-00004.safetensors
    4.26 GB
    xet
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  • model-00004-of-00004.safetensors
    1.3 GB
    xet
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  • model.safetensors.index.json
    21.4 kB
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  • modeling_zhinao.py
    46.8 kB
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  • special_tokens_map.json
    170 Bytes
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  • tokenization_zhinao.py
    9.55 kB
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  • tokenizer_config.json
    1.12 kB
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