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laiking
/
biolinkbert-outcomes-ner

Token Classification
Transformers
Safetensors
English
bert
feature-extraction
Model card Files Files and versions
xet
Community

Instructions to use laiking/biolinkbert-outcomes-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use laiking/biolinkbert-outcomes-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="laiking/biolinkbert-outcomes-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("laiking/biolinkbert-outcomes-ner")
    model = AutoModel.from_pretrained("laiking/biolinkbert-outcomes-ner")
  • Notebooks
  • Google Colab
  • Kaggle
biolinkbert-outcomes-ner
434 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 6 commits
laiking's picture
laiking
added base model
aa608e6 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    366 Bytes
    added base model over 1 year ago
  • config.json
    965 Bytes
    Upload model over 2 years ago
  • model.safetensors
    433 MB
    xet
    Upload model over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    679 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    468 Bytes
    Upload tokenizer over 2 years ago
  • vocab.txt
    225 kB
    Upload tokenizer over 2 years ago