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javilonso
/
classificationEsp3_Attraction

Text Classification
Transformers
google-tensorflow TensorFlow
gpt2
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use javilonso/classificationEsp3_Attraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use javilonso/classificationEsp3_Attraction with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="javilonso/classificationEsp3_Attraction")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("javilonso/classificationEsp3_Attraction")
    model = AutoModelForSequenceClassification.from_pretrained("javilonso/classificationEsp3_Attraction")
  • Notebooks
  • Google Colab
  • Kaggle
classificationEsp3_Attraction
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  • 1 contributor
History: 5 commits
javilonso's picture
javilonso
End of training
86991a3 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    1.6 kB
    Training in progress epoch 2 about 4 years ago
  • added_tokens.json
    40 Bytes
    Training in progress epoch 0 about 4 years ago
  • config.json
    1.1 kB
    Training in progress epoch 0 about 4 years ago
  • merges.txt
    509 kB
    Training in progress epoch 0 about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Training in progress epoch 0 about 4 years ago
  • tf_model.h5
    496 MB
    xet
    End of training about 4 years ago
  • tokenizer.json
    2.21 MB
    Training in progress epoch 0 about 4 years ago
  • tokenizer_config.json
    233 Bytes
    Training in progress epoch 0 about 4 years ago
  • vocab.json
    851 kB
    Training in progress epoch 0 about 4 years ago