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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", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

sorry for my mistakes

#8 opened over 1 year ago by
dongDS

Accuracy for "mention as is" does not match the paper results

#7 opened about 2 years ago by
KomalZorini

Performance Hugging Face Model Card vs Model in the Paper

4
#5 opened over 2 years ago by
mijantscher

Adding `safetensors` variant of this model

#4 opened almost 3 years ago by
SFconvertbot

How to run inferences?

1
#3 opened over 3 years ago by
david44099

Entity centric reference encoder?

3
#2 opened over 3 years ago by
mhill

getting error while importing KRISSBERT

6
#1 opened over 3 years ago by
pradeepmohans
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