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Javtor
/
biomedical-topic-categorization-both

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Javtor/biomedical-topic-categorization-both with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Javtor/biomedical-topic-categorization-both with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Javtor/biomedical-topic-categorization-both")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Javtor/biomedical-topic-categorization-both")
    model = AutoModelForSequenceClassification.from_pretrained("Javtor/biomedical-topic-categorization-both")
  • Notebooks
  • Google Colab
  • Kaggle
biomedical-topic-categorization-both
1.34 GB
Ctrl+K
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  • 1 contributor
History: 9 commits
Javtor's picture
Javtor
Training in progress, epoch 8
917bc8d over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 over 3 years ago
  • config.json
    5.04 kB
    Training in progress, epoch 1 over 3 years ago
  • pytorch_model.bin
    1.33 GB
    xet
    Training in progress, epoch 8 over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, epoch 1 over 3 years ago
  • tokenizer.json
    679 kB
    Training in progress, epoch 1 over 3 years ago
  • tokenizer_config.json
    403 Bytes
    Training in progress, epoch 1 over 3 years ago
  • training_args.bin
    3.45 kB
    xet
    Training in progress, epoch 1 over 3 years ago
  • vocab.txt
    225 kB
    Training in progress, epoch 1 over 3 years ago