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ksabeh
/
roberta-base-attribute-correction

Question Answering
Transformers
google-tensorflow TensorFlow
TensorBoard
roberta
generated_from_keras_callback
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ksabeh/roberta-base-attribute-correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ksabeh/roberta-base-attribute-correction with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="ksabeh/roberta-base-attribute-correction")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("ksabeh/roberta-base-attribute-correction")
    model = AutoModelForQuestionAnswering.from_pretrained("ksabeh/roberta-base-attribute-correction")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-attribute-correction
506 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ksabeh's picture
ksabeh
End of training
ffbc617 almost 4 years ago
  • logs
    Training in progress epoch 0 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • README.md
    1.56 kB
    Training in progress epoch 0 almost 4 years ago
  • config.json
    684 Bytes
    Training in progress epoch 0 almost 4 years ago
  • merges.txt
    456 kB
    Training in progress epoch 0 almost 4 years ago
  • special_tokens_map.json
    239 Bytes
    Training in progress epoch 0 almost 4 years ago
  • tf_model.h5
    497 MB
    xet
    End of training almost 4 years ago
  • tokenizer.json
    2.11 MB
    Training in progress epoch 0 almost 4 years ago
  • tokenizer_config.json
    380 Bytes
    Training in progress epoch 0 almost 4 years ago
  • vocab.json
    798 kB
    Training in progress epoch 0 almost 4 years ago