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yueliu1999
/
GuardReasoner-8B

Text Classification
Transformers
Safetensors
llama-factory
full
Generated from Trainer
Model card Files Files and versions
xet
Community
4

Instructions to use yueliu1999/GuardReasoner-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yueliu1999/GuardReasoner-8B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="yueliu1999/GuardReasoner-8B")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yueliu1999/GuardReasoner-8B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GuardReasoner-8B
16.1 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 9 commits
yueliu1999's picture
yueliu1999
nielsr's picture
nielsr HF Staff
Add Github link, set proper license (#2)
f3f57a9 verified over 1 year ago
  • .gitattributes
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  • README.md
    4.34 kB
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  • all_results.json
    255 Bytes
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  • config.json
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  • generation_config.json
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  • model-00001-of-00004.safetensors
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  • model-00002-of-00004.safetensors
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  • model-00003-of-00004.safetensors
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  • model-00004-of-00004.safetensors
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  • model.safetensors.index.json
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  • special_tokens_map.json
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  • tokenizer.json
    17.2 MB
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  • tokenizer_config.json
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  • train_results.json
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  • trainer_log.jsonl
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  • trainer_state.json
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  • training_args.bin
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  • training_loss.png
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  • training_rewards_accuracies.png
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