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arver
/
inter_iit

Question Answering
Transformers
PyTorch
distilbert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use arver/inter_iit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="arver/inter_iit")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("arver/inter_iit")
    model = AutoModelForQuestionAnswering.from_pretrained("arver/inter_iit")
  • Notebooks
  • Google Colab
  • Kaggle
inter_iit
531 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
9a6aa1a verified about 1 year ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    623 Bytes
    Upload DistilBertForQuestionAnswering over 3 years ago
  • model.safetensors
    265 MB
    xet
    Adding `safetensors` variant of this model about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    265 MB
    xet
    Upload DistilBertForQuestionAnswering over 3 years ago