Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Intel
/
tiny-random-bert_ipex_model

Question Answering
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use Intel/tiny-random-bert_ipex_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Intel/tiny-random-bert_ipex_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Intel/tiny-random-bert_ipex_model")
    model = AutoModelForQuestionAnswering.from_pretrained("Intel/tiny-random-bert_ipex_model")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-bert_ipex_model
380 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Jiqing's picture
Jiqing
Update README.md
e8c2fa9 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    552 Bytes
    Update README.md 8 months ago
  • config.json
    687 Bytes
    Upload BertForQuestionAnswering over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    377 kB
    xet
    Upload BertForQuestionAnswering over 1 year ago