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Stratos97
/
biobert-base-cased-PubMed-Mesh

Text Classification
Transformers
Safetensors
bert
Model card Files Files and versions
xet
Community

Instructions to use Stratos97/biobert-base-cased-PubMed-Mesh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Stratos97/biobert-base-cased-PubMed-Mesh with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Stratos97/biobert-base-cased-PubMed-Mesh")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Stratos97/biobert-base-cased-PubMed-Mesh")
    model = AutoModelForSequenceClassification.from_pretrained("Stratos97/biobert-base-cased-PubMed-Mesh")
  • Notebooks
  • Google Colab
  • Kaggle
biobert-base-cased-PubMed-Mesh
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Stratos97's picture
Stratos97
Corrected the mapping of the label names.
972d87f about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    1.88 kB
    Corrected the mapping of the label names. about 2 years ago
  • model.safetensors
    438 MB
    xet
    initial commit about 2 years ago
  • special_tokens_map.json
    125 Bytes
    initial commit about 2 years ago
  • tokenizer_config.json
    1.27 kB
    initial commit about 2 years ago
  • vocab.txt
    213 kB
    initial commit about 2 years ago