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FlagAlpha
/
Atom-7B

Question Answering
Transformers
Safetensors
Chinese
English
llama
text-generation
custom_code
text-generation-inference
Model card Files Files and versions
xet
Community
3

Instructions to use FlagAlpha/Atom-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FlagAlpha/Atom-7B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="FlagAlpha/Atom-7B", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("FlagAlpha/Atom-7B", trust_remote_code=True)
    model = AutoModelForCausalLM.from_pretrained("FlagAlpha/Atom-7B", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
Atom-7B
Ctrl+K
Ctrl+K
  • 3 contributors
History: 46 commits
wuyongyu's picture
wuyongyu
Update README.md
b60683f verified about 2 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • configuration_atom.py
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  • generation_config.json
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  • model_atom.py
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  • tokenizer.model
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  • tokenizer_config.json
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  • zero_to_fp32.py
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