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DISLab
/
SummLlama3.2-3B

Summarization
Transformers
Safetensors
llama
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
2

Instructions to use DISLab/SummLlama3.2-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DISLab/SummLlama3.2-3B 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="DISLab/SummLlama3.2-3B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("DISLab/SummLlama3.2-3B")
    model = AutoModelForCausalLM.from_pretrained("DISLab/SummLlama3.2-3B")
  • Notebooks
  • Google Colab
  • Kaggle
SummLlama3.2-3B
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  • 1 contributor
History: 17 commits
Hwanjun's picture
Hwanjun
Update README.md
f0069e1 verified over 1 year ago
  • .gitattributes
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    initial commit over 1 year ago
  • README.md
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  • config.json
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  • generation_config.json
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  • model-00001-of-00002.safetensors
    4.97 GB
    xet
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  • model-00002-of-00002.safetensors
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  • model.safetensors.index.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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