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JD97
/
train-7B-reason

Feature Extraction
Transformers
Safetensors
qwen2
Model card Files Files and versions
xet
Community

Instructions to use JD97/train-7B-reason with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JD97/train-7B-reason with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="JD97/train-7B-reason")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("JD97/train-7B-reason")
    model = AutoModel.from_pretrained("JD97/train-7B-reason")
  • Notebooks
  • Google Colab
  • Kaggle
train-7B-reason
28.3 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
JD97's picture
JD97
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51f8222 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    5.17 kB
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  • config.json
    1.32 kB
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  • model-00001-of-00006.safetensors
    4.98 GB
    xet
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  • model-00002-of-00006.safetensors
    4.78 GB
    xet
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  • model-00003-of-00006.safetensors
    4.93 GB
    xet
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  • model-00004-of-00006.safetensors
    4.93 GB
    xet
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  • model-00005-of-00006.safetensors
    5 GB
    xet
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  • model-00006-of-00006.safetensors
    3.66 GB
    xet
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  • model.safetensors.index.json
    25.7 kB
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