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luqh
/
ClinicalT5-base

Transformers
JAX
t5
text2text-generation
Model card Files Files and versions
xet
Community
2

Instructions to use luqh/ClinicalT5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use luqh/ClinicalT5-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("luqh/ClinicalT5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("luqh/ClinicalT5-base")
  • Notebooks
  • Google Colab
  • Kaggle
ClinicalT5-base
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  • 1 contributor
History: 3 commits
luqh's picture
luqh
Upload 6 files
f40af1c over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.29 kB
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  • config.json
    664 Bytes
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  • flax_model.msgpack
    892 MB
    xet
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  • special_tokens_map.json
    1.79 kB
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  • spiece.model
    792 kB
    xet
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    1.92 kB
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