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GeorgiaTech
/
bert-generative-pubmedqa

Transformers
Safetensors
English
encoder-decoder
text2text-generation
medical
Model card Files Files and versions
xet
Community

Instructions to use GeorgiaTech/bert-generative-pubmedqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GeorgiaTech/bert-generative-pubmedqa with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("GeorgiaTech/bert-generative-pubmedqa")
    model = AutoModelForSeq2SeqLM.from_pretrained("GeorgiaTech/bert-generative-pubmedqa")
  • Notebooks
  • Google Colab
  • Kaggle
bert-generative-pubmedqa
990 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
hbeadles's picture
hbeadles
Update README.md
6c0c17a verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    906 Bytes
    Update README.md about 2 years ago
  • config.json
    4.8 kB
    Upload model about 2 years ago
  • generation_config.json
    90 Bytes
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  • model.safetensors
    990 MB
    xet
    Upload model about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.19 kB
    Upload tokenizer about 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 2 years ago