Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

keras-io
/
transformers-qa

Question Answering
Transformers
google-tensorflow TensorFlow
distilbert
generated_from_keras_callback
Model card Files Files and versions
xet
Community
6

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

  • Libraries
  • Transformers

    How to use keras-io/transformers-qa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="keras-io/transformers-qa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("keras-io/transformers-qa")
    model = AutoModelForQuestionAnswering.from_pretrained("keras-io/transformers-qa")
  • Notebooks
  • Google Colab
  • Kaggle
transformers-qa
262 MB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 18 commits
malrins661's picture
malrins661
Upload TFDistilBertForQuestionAnswering
71fd9ca over 2 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.49 kB
    Upload TFDistilBertForQuestionAnswering over 2 years ago
  • config.json
    559 Bytes
    Upload TFDistilBertForQuestionAnswering over 2 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer over 4 years ago
  • tf_model.h5
    261 MB
    xet
    Upload TFDistilBertForQuestionAnswering over 2 years ago
  • tokenizer.json
    436 kB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    332 Bytes
    add tokenizer over 4 years ago
  • vocab.txt
    213 kB
    add tokenizer over 4 years ago