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leduckhai
/
ViT5-VietMedSum

Summarization
Transformers
Safetensors
Vietnamese
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
2

Instructions to use leduckhai/ViT5-VietMedSum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use leduckhai/ViT5-VietMedSum 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="leduckhai/ViT5-VietMedSum")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("leduckhai/ViT5-VietMedSum")
    model = AutoModelForSeq2SeqLM.from_pretrained("leduckhai/ViT5-VietMedSum")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Update Huggingface Pipeline

#2 opened 2 months ago by
datnguyen1612

Improve model card: correct pipeline tag, add paper link, and refine description

#1 opened about 1 year ago by
nielsr
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