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learning-sponge
/
distilbert-rotten-tomatoes

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

Instructions to use learning-sponge/distilbert-rotten-tomatoes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use learning-sponge/distilbert-rotten-tomatoes with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="learning-sponge/distilbert-rotten-tomatoes")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("learning-sponge/distilbert-rotten-tomatoes")
    model = AutoModelForSequenceClassification.from_pretrained("learning-sponge/distilbert-rotten-tomatoes")
  • Notebooks
  • Google Colab
  • Kaggle
distilbert-rotten-tomatoes
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
learning-sponge's picture
learning-sponge
End of training
6aa0a27 verified 8 months ago
  • runs
    Training in progress, step 2134 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    1.24 kB
    End of training 8 months ago
  • config.json
    563 Bytes
    Training in progress, step 500 8 months ago
  • model.safetensors
    268 MB
    xet
    Training in progress, step 2134 8 months ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 500 8 months ago
  • tokenizer.json
    711 kB
    Training in progress, step 500 8 months ago
  • tokenizer_config.json
    1.23 kB
    Training in progress, step 500 8 months ago
  • training_args.bin
    5.78 kB
    xet
    Training in progress, step 500 8 months ago
  • vocab.txt
    232 kB
    Training in progress, step 500 8 months ago