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contemmcm
/
eaeb83f3b277bc2b3512d8b157a97deb

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use contemmcm/eaeb83f3b277bc2b3512d8b157a97deb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use contemmcm/eaeb83f3b277bc2b3512d8b157a97deb with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="contemmcm/eaeb83f3b277bc2b3512d8b157a97deb")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("contemmcm/eaeb83f3b277bc2b3512d8b157a97deb")
    model = AutoModelForSequenceClassification.from_pretrained("contemmcm/eaeb83f3b277bc2b3512d8b157a97deb")
  • Notebooks
  • Google Colab
  • Kaggle
eaeb83f3b277bc2b3512d8b157a97deb
545 MB
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  • 1 contributor
History: 2 commits
contemmcm's picture
contemmcm
End of training
3812f50 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    3.9 kB
    End of training 8 months ago
  • config.json
    587 Bytes
    End of training 8 months ago
  • model.safetensors
    541 MB
    xet
    End of training 8 months ago
  • special_tokens_map.json
    125 Bytes
    End of training 8 months ago
  • tokenizer.json
    2.92 MB
    End of training 8 months ago
  • tokenizer_config.json
    1.23 kB
    End of training 8 months ago
  • training_args.bin
    5.97 kB
    xet
    End of training 8 months ago
  • vocab.txt
    996 kB
    End of training 8 months ago