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MilosKosRad
/
BioNER

Token Classification
Transformers
PyTorch
English
bert
chemistry
biology
zero-shot
BERT
PubMedBERT
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use MilosKosRad/BioNER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="MilosKosRad/BioNER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MilosKosRad/BioNER")
    model = AutoModelForTokenClassification.from_pretrained("MilosKosRad/BioNER", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BioNER
437 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 14 commits
MilosKosRad's picture
MilosKosRad
Update README.md
ed03fce about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    6.04 kB
    Update README.md about 3 years ago
  • config.json
    684 Bytes
    Upload config.json about 3 years ago
  • pytorch_model.bin
    436 MB
    xet
    Adding Model about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload special_tokens_map.json about 3 years ago
  • tokenizer.json
    706 kB
    Upload tokenizer.json about 3 years ago
  • tokenizer_config.json
    417 Bytes
    Upload tokenizer_config.json about 3 years ago
  • training_args.bin
    3.31 kB
    xet
    Upload training_args.bin about 3 years ago
  • vocab.txt
    226 kB
    Upload vocab.txt about 3 years ago