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mtr0930
/
i-manual_integrated_tokenizer

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

Instructions to use mtr0930/i-manual_integrated_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mtr0930/i-manual_integrated_tokenizer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="mtr0930/i-manual_integrated_tokenizer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("mtr0930/i-manual_integrated_tokenizer")
    model = AutoModelForQuestionAnswering.from_pretrained("mtr0930/i-manual_integrated_tokenizer")
  • Notebooks
  • Google Colab
  • Kaggle
i-manual_integrated_tokenizer
450 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mtr0930's picture
mtr0930
first commit
bb5bb33 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • added_tokens.json
    1.67 kB
    first commit over 4 years ago
  • config.json
    868 Bytes
    first commit over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    450 MB
    xet
    first commit over 4 years ago
  • special_tokens_map.json
    112 Bytes
    first commit over 4 years ago
  • tokenizer.json
    541 kB
    first commit over 4 years ago
  • tokenizer_config.json
    446 Bytes
    first commit over 4 years ago
  • vocab.txt
    263 kB
    first commit over 4 years ago