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zhr6212
/
Qwen_sft

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

Instructions to use zhr6212/Qwen_sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zhr6212/Qwen_sft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="zhr6212/Qwen_sft", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("zhr6212/Qwen_sft", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen_sft
3.68 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
zhr6212's picture
zhr6212
Upload folder using huggingface_hub
b9f0f23 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.14 kB
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  • configuration_qwen.py
    2.35 kB
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  • cpp_kernels.py
    1.92 kB
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  • generation_config.json
    250 Bytes
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  • model-00001-of-00002.safetensors
    1.99 GB
    xet
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  • model-00002-of-00002.safetensors
    1.68 GB
    xet
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  • model.safetensors.index.json
    14.7 kB
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  • modeling_qwen.py
    55.6 kB
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  • qwen.tiktoken
    2.56 MB
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  • qwen_generation_utils.py
    14.6 kB
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  • special_tokens_map.json
    3 Bytes
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  • tokenization_qwen.py
    9.62 kB
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  • tokenizer_config.json
    300 Bytes
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