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Ashishkr
/
llama2-call-summarization

Text Generation
PEFT
TensorBoard
meta-llama/Llama-2-7b-chat-hf
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Ashishkr/llama2-call-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Ashishkr/llama2-call-summarization with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf")
    model = PeftModel.from_pretrained(base_model, "Ashishkr/llama2-call-summarization")
  • Notebooks
  • Google Colab
  • Kaggle
llama2-call-summarization
139 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
Ashishkr's picture
Ashishkr
Update README.md
78702b8 almost 3 years ago
  • checkpoint-200
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  • .gitattributes
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  • README.md
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  • adapter_config.json
    452 Bytes
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  • adapter_model.bin
    33.6 MB
    xet
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  • special_tokens_map.json
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  • tokenizer.json
    1.84 MB
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  • tokenizer.model
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  • tokenizer_config.json
    735 Bytes
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  • training_args.bin
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  • training_params.json
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