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lytang
/
MiniCheck-Flan-T5-Large

Text Classification
Transformers
PyTorch
English
t5
text2text-generation
Model card Files Files and versions
xet
Community
2

Instructions to use lytang/MiniCheck-Flan-T5-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lytang/MiniCheck-Flan-T5-Large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lytang/MiniCheck-Flan-T5-Large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("lytang/MiniCheck-Flan-T5-Large")
    model = AutoModelForSeq2SeqLM.from_pretrained("lytang/MiniCheck-Flan-T5-Large")
  • Notebooks
  • Google Colab
  • Kaggle
MiniCheck-Flan-T5-Large / minicheck_web
9.62 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
Liyan06
handle small chunk size
67a6912 almost 2 years ago
  • inference.py
    8.05 kB
    handle small chunk size almost 2 years ago
  • minicheck.py
    1.57 kB
    customize chunk_size in score function almost 2 years ago