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Trickshotblaster
/
epic-qa

Question Answering
Transformers
google-tensorflow TensorFlow
distilbert
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use Trickshotblaster/epic-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Trickshotblaster/epic-qa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Trickshotblaster/epic-qa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Trickshotblaster/epic-qa")
    model = AutoModelForQuestionAnswering.from_pretrained("Trickshotblaster/epic-qa", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
epic-qa
261 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Trickshotblaster's picture
Trickshotblaster
Upload TFDistilBertForQuestionAnswering
bd6dfdb about 3 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
    1.45 kB
    Upload TFDistilBertForQuestionAnswering about 3 years ago
  • config.json
    559 Bytes
    Upload TFDistilBertForQuestionAnswering about 3 years ago
  • tf_model.h5
    261 MB
    xet
    Upload TFDistilBertForQuestionAnswering about 3 years ago