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luqh
/
ClinicalT5-large

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

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

  • Libraries
  • Transformers

    How to use luqh/ClinicalT5-large with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("luqh/ClinicalT5-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("luqh/ClinicalT5-large")
  • Notebooks
  • Google Colab
  • Kaggle
ClinicalT5-large
2.95 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
luqh's picture
luqh
Upload 6 files
231de2a over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.3 kB
    Create README.md over 3 years ago
  • config.json
    665 Bytes
    Upload 6 files over 3 years ago
  • flax_model.msgpack
    2.95 GB
    xet
    Upload 6 files over 3 years ago
  • special_tokens_map.json
    1.79 kB
    Upload 6 files over 3 years ago
  • spiece.model
    792 kB
    xet
    Upload 6 files over 3 years ago
  • tokenizer.json
    2.42 MB
    Upload 6 files over 3 years ago
  • tokenizer_config.json
    1.92 kB
    Upload 6 files over 3 years ago