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

Intel
/
dynamic_tinybert

Question Answering
Transformers
PyTorch
English
bert
Eval Results (legacy)
Model card Files Files and versions
xet
Community
7

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

  • Libraries
  • Transformers

    How to use Intel/dynamic_tinybert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Intel/dynamic_tinybert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Intel/dynamic_tinybert")
    model = AutoModelForQuestionAnswering.from_pretrained("Intel/dynamic_tinybert")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
dynamic_tinybert
Ctrl+K
Ctrl+K
  • 4 contributors
History: 1 commit
system's picture
system HF Staff
initial commit
536afbc over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago