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weqweasdas
/
hh_rlhf_rm_open_llama_3b

Text Classification
Transformers
PyTorch
llama
Model card Files Files and versions
xet
Community
3

Instructions to use weqweasdas/hh_rlhf_rm_open_llama_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use weqweasdas/hh_rlhf_rm_open_llama_3b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="weqweasdas/hh_rlhf_rm_open_llama_3b")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("weqweasdas/hh_rlhf_rm_open_llama_3b")
    model = AutoModelForSequenceClassification.from_pretrained("weqweasdas/hh_rlhf_rm_open_llama_3b", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hh_rlhf_rm_open_llama_3b
6.65 GB
Ctrl+K
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  • 1 contributor
History: 13 commits
weqweasdas's picture
weqweasdas
Update README.md
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  • .gitattributes
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  • README.md
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  • config.json
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  • llama_reward.png
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  • pytorch_model.bin
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  • raft.png
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  • special_tokens_map.json
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  • tokenizer.model
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  • tokenizer_config.json
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