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cglez
/
bert-base-uncased-ft-ohsumed

Text Classification
Transformers
TensorBoard
Safetensors
English
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use cglez/bert-base-uncased-ft-ohsumed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cglez/bert-base-uncased-ft-ohsumed with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="cglez/bert-base-uncased-ft-ohsumed")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("cglez/bert-base-uncased-ft-ohsumed")
    model = AutoModelForSequenceClassification.from_pretrained("cglez/bert-base-uncased-ft-ohsumed")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-ft-ohsumed
439 MB
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  • 1 contributor
History: 7 commits
cglez's picture
cglez
Update README.md
e0d25e2 verified 6 months ago
  • runs
    Upload tensorboard folder 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    2.95 kB
    Update README.md 6 months ago
  • config.json
    1.71 kB
    Upload BertForSequenceClassification 7 months ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification 7 months ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer 7 months ago
  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.19 kB
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  • vocab.txt
    232 kB
    Upload tokenizer 7 months ago