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genloop
/
FHIR_QnA_Relevance_Classification_Llama-3.1-8b-Base-FT_T2_T1

Question Answering
Transformers
Safetensors
Model card Files Files and versions
xet
Community
1

Instructions to use genloop/FHIR_QnA_Relevance_Classification_Llama-3.1-8b-Base-FT_T2_T1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use genloop/FHIR_QnA_Relevance_Classification_Llama-3.1-8b-Base-FT_T2_T1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="genloop/FHIR_QnA_Relevance_Classification_Llama-3.1-8b-Base-FT_T2_T1")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("genloop/FHIR_QnA_Relevance_Classification_Llama-3.1-8b-Base-FT_T2_T1", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
FHIR_QnA_Relevance_Classification_Llama-3.1-8b-Base-FT_T2_T1
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  • 2 contributors
History: 5 commits
ayushgs's picture
ayushgs
nielsr's picture
nielsr HF Staff
Add library name and pipeline tag, link to paper (#1)
377fdd1 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    274 Bytes
    Add library name and pipeline tag, link to paper (#1) over 1 year ago
  • adapter_config.json
    734 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • adapter_model.safetensors
    168 MB
    xet
    Upload folder using huggingface_hub over 1 year ago