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ZYW
/
squad-mbert-model_2

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

Instructions to use ZYW/squad-mbert-model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ZYW/squad-mbert-model_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="ZYW/squad-mbert-model_2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("ZYW/squad-mbert-model_2")
    model = AutoModelForQuestionAnswering.from_pretrained("ZYW/squad-mbert-model_2")
  • Notebooks
  • Google Colab
  • Kaggle
squad-mbert-model_2
712 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ZYW's picture
ZYW
add model
5e40804 about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    902 Bytes
    add model about 5 years ago
  • config.json
    810 Bytes
    add model about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    709 MB
    xet
    add model about 5 years ago
  • special_tokens_map.json
    112 Bytes
    add model about 5 years ago
  • tokenizer.json
    1.96 MB
    add model about 5 years ago
  • tokenizer_config.json
    290 Bytes
    add model about 5 years ago
  • vocab.txt
    996 kB
    add model about 5 years ago