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DISLab
/
SummLlama3.1-8B

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

Instructions to use DISLab/SummLlama3.1-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DISLab/SummLlama3.1-8B 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/SummLlama3.1-8B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("DISLab/SummLlama3.1-8B")
    model = AutoModelForCausalLM.from_pretrained("DISLab/SummLlama3.1-8B")
  • Notebooks
  • Google Colab
  • Kaggle
SummLlama3.1-8B
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  • 1 contributor
History: 1 commit
Hwanjun's picture
Hwanjun
initial commit
3ff50a9 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago