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Deepu1965
/
xsum-llama1b-instruct-lora

Summarization
Transformers
Safetensors
English
llama
lora
xsum
Model card Files Files and versions
xet
Community

Instructions to use Deepu1965/xsum-llama1b-instruct-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Deepu1965/xsum-llama1b-instruct-lora with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="Deepu1965/xsum-llama1b-instruct-lora")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Deepu1965/xsum-llama1b-instruct-lora", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
xsum-llama1b-instruct-lora
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  • 1 contributor
History: 9 commits
Deepu1965's picture
Deepu1965
Upload llama_lora_evaluation_results.json
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  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
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  • chat_template.jinja
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  • config.json
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  • llama_lora_evaluation_results.json
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  • metrics.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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