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IVN-RIN
/
MedPsyNIT

Token Classification
Transformers
PyTorch
Safetensors
Italian
bert
medical
neuropsichiatry
Model card Files Files and versions
xet
Community
2

Instructions to use IVN-RIN/MedPsyNIT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IVN-RIN/MedPsyNIT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="IVN-RIN/MedPsyNIT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("IVN-RIN/MedPsyNIT")
    model = AutoModelForTokenClassification.from_pretrained("IVN-RIN/MedPsyNIT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MedPsyNIT
876 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 11 commits
Neuroinformatica's picture
Neuroinformatica
Update README.md
0e36963 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
    2.39 kB
    Update README.md almost 2 years ago
  • config.json
    1.26 kB
    Update config.json almost 2 years ago
  • model.safetensors
    437 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    437 MB
    xet
    First commit about 3 years ago
  • special_tokens_map.json
    125 Bytes
    First commit about 3 years ago
  • tokenizer.json
    724 kB
    First commit about 3 years ago
  • tokenizer_config.json
    399 Bytes
    First commit about 3 years ago
  • training_args.bin
    3.44 kB
    xet
    First commit about 3 years ago
  • vocab.txt
    235 kB
    First commit about 3 years ago