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ProdicusII
/
ZeroShotBioNER

Token Classification
Transformers
PyTorch
English
bert
biology
medical
zero-shot
few-shot
Model card Files Files and versions
xet
Community
9

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

  • Libraries
  • Transformers

    How to use ProdicusII/ZeroShotBioNER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ProdicusII/ZeroShotBioNER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ProdicusII/ZeroShotBioNER")
    model = AutoModelForTokenClassification.from_pretrained("ProdicusII/ZeroShotBioNER")
  • Notebooks
  • Google Colab
  • Kaggle
ZeroShotBioNER
432 MB
Ctrl+K
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  • 2 contributors
History: 5 commits
nikolamilosevic's picture
nikolamilosevic
Restucture
8c9221f about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    413 Bytes
    Restucture about 3 years ago
  • pytorch_model.bin
    431 MB
    xet
    Upload pytorch_model.bin for the first time about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 4 files about 3 years ago
  • tokenizer.json
    669 kB
    Upload 4 files about 3 years ago
  • tokenizer_config.json
    559 Bytes
    Upload 4 files about 3 years ago
  • vocab.txt
    213 kB
    Upload 4 files about 3 years ago