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cariai
/
medslabs

Token Classification
Transformers
PyTorch
JAX
roberta
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use cariai/medslabs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="cariai/medslabs")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("cariai/medslabs")
    model = AutoModelForTokenClassification.from_pretrained("cariai/medslabs")
  • Notebooks
  • Google Colab
  • Kaggle
medslabs
994 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
19d5b78 about 5 years ago
  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • README.md
    16 Bytes
    First version of the medslabs model and tokenizer. over 5 years ago
  • config.json
    2 kB
    First version of the medslabs model and tokenizer. over 5 years ago
  • flax_model.msgpack
    496 MB
    xet
    upload flax model about 5 years ago
  • merges.txt
    512 kB
    First version of the medslabs model and tokenizer. over 5 years ago
  • pytorch_model.bin
    496 MB
    xet
    First version of the medslabs model and tokenizer. over 5 years ago
  • special_tokens_map.json
    150 Bytes
    First version of the medslabs model and tokenizer. over 5 years ago
  • tokenizer_config.json
    1.15 kB
    First version of the medslabs model and tokenizer. over 5 years ago
  • vocab.json
    954 kB
    First version of the medslabs model and tokenizer. over 5 years ago