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Babelscape
/
t5-base-summarization-claim-extractor

Transformers
Safetensors
English
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
3

Instructions to use Babelscape/t5-base-summarization-claim-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Babelscape/t5-base-summarization-claim-extractor with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Babelscape/t5-base-summarization-claim-extractor")
    model = AutoModelForSeq2SeqLM.from_pretrained("Babelscape/t5-base-summarization-claim-extractor")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-summarization-claim-extractor
892 MB
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  • 4 contributors
History: 33 commits
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fcecconi
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cherry0328
Update README.md (#3)
94775fb verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.73 kB
    Update README.md (#3) 4 months ago
  • added_tokens.json
    2.59 kB
    Upload tokenizer almost 2 years ago
  • config.json
    1.5 kB
    Upload T5ForConditionalGeneration almost 2 years ago
  • generation_config.json
    164 Bytes
    Upload generation_config.json with huggingface_hub almost 2 years ago
  • model.safetensors
    892 MB
    xet
    Upload T5ForConditionalGeneration almost 2 years ago
  • special_tokens_map.json
    2.54 kB
    Upload tokenizer almost 2 years ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    20.8 kB
    Upload tokenizer almost 2 years ago