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microsoft
/
BiomedNLP-KRISSBERT-PubMed-UMLS-EL

Feature Extraction
Transformers
PyTorch
English
bert
exbert
Model card Files Files and versions
xet
Community
8

Instructions to use microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL")
    # Load model directly
    from transformers import AutoTokenizer, KRISSBERT
    
    tokenizer = AutoTokenizer.from_pretrained("microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL")
    model = KRISSBERT.from_pretrained("microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL")
  • Notebooks
  • Google Colab
  • Kaggle
BiomedNLP-KRISSBERT-PubMed-UMLS-EL / usage
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shengz
Delete usage/README.md
655b6bd about 4 years ago
  • conf
    Add the example usage. about 4 years ago
  • generate_prototypes.py
    1.93 kB
    Add the example usage. about 4 years ago
  • requirements.txt
    67 Bytes
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  • run_entity_linking.py
    14.3 kB
    Add the example usage. about 4 years ago
  • utils.py
    9.69 kB
    Add the example usage. about 4 years ago