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achandlr
/
Llama-3-8B-Instruct-BatchPromptQA

Question Answering
Transformers
Safetensors
English
batch prompting
batch
BatchPrompt
BatchPrompting
GLUE
Llama
fine-tuned
Llama3
Llama-3-8B-Instruct
Model card Files Files and versions
xet
Community

Instructions to use achandlr/Llama-3-8B-Instruct-BatchPromptQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use achandlr/Llama-3-8B-Instruct-BatchPromptQA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="achandlr/Llama-3-8B-Instruct-BatchPromptQA")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("achandlr/Llama-3-8B-Instruct-BatchPromptQA", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Llama-3-8B-Instruct-BatchPromptQA
118 MB
Ctrl+K
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  • 1 contributor
History: 65 commits
achandlr's picture
achandlr
Upload tokenizer
a42f578 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    6.56 kB
    Update README.md over 2 years ago
  • adapter_config.json
    660 Bytes
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  • adapter_model.safetensors
    109 MB
    xet
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  • generation_config.json
    194 Bytes
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  • special_tokens_map.json
    439 Bytes
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  • tokenizer.json
    9.09 MB
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  • tokenizer_config.json
    51.1 kB
    Upload tokenizer over 2 years ago