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prahlad
/
rotten_model

Text Classification
Transformers
google-tensorflow TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use prahlad/rotten_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="prahlad/rotten_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("prahlad/rotten_model")
    model = AutoModelForSequenceClassification.from_pretrained("prahlad/rotten_model")
  • Notebooks
  • Google Colab
  • Kaggle
rotten_model
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
prahlad's picture
prahlad
Update README.md
d7fada2 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    1.61 kB
    Update README.md almost 4 years ago
  • config.json
    650 Bytes
    End of training almost 4 years ago
  • special_tokens_map.json
    125 Bytes
    End of training almost 4 years ago
  • tf_model.h5
    438 MB
    xet
    End of training almost 4 years ago
  • tokenizer.json
    711 kB
    End of training almost 4 years ago
  • tokenizer_config.json
    348 Bytes
    End of training almost 4 years ago
  • vocab.txt
    232 kB
    End of training almost 4 years ago