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pgilliar
/
MNLP_M2_rag_model

Transformers
Safetensors
Model card Files Files and versions
xet
Community

Instructions to use pgilliar/MNLP_M2_rag_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pgilliar/MNLP_M2_rag_model with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("pgilliar/MNLP_M2_rag_model", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MNLP_M2_rag_model
1.7 GB
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  • 1 contributor
History: 2 commits
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pgilliar
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • generation_config.json
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  • merges.txt
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  • model.safetensors
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  • recipe.yaml
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  • special_tokens_map.json
    616 Bytes
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
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  • vocab.json
    2.78 MB
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