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csebuetnlp
/
mT5_m2o_english_crossSum

Summarization
Transformers
PyTorch
mt5
text2text-generation
mT5
Model card Files Files and versions
xet
Community
5

Instructions to use csebuetnlp/mT5_m2o_english_crossSum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use csebuetnlp/mT5_m2o_english_crossSum 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="csebuetnlp/mT5_m2o_english_crossSum")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/mT5_m2o_english_crossSum")
    model = AutoModelForSeq2SeqLM.from_pretrained("csebuetnlp/mT5_m2o_english_crossSum", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mT5_m2o_english_crossSum
5.95 kB
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  • 1 contributor
History: 9 commits
abhik1505040's picture
abhik1505040
Delete tokenizer_config.json
29cd9cd over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    4.77 kB
    Updated README.md over 4 years ago