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ShihTing
/
QA_Leave

Text Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use ShihTing/QA_Leave with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ShihTing/QA_Leave")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ShihTing/QA_Leave")
    model = AutoModelForSequenceClassification.from_pretrained("ShihTing/QA_Leave")
  • Notebooks
  • Google Colab
  • Kaggle
QA_Leave
410 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
ShihTing's picture
ShihTing
Upload trainer_state.json
3c0226a about 4 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • README.md
    285 Bytes
    Upload README.md about 4 years ago
  • config.json
    15.5 kB
    Upload config.json about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    409 MB
    xet
    Upload pytorch_model.bin with git-lfs about 4 years ago
  • tokenizer.json
    269 kB
    Upload tokenizer.json about 4 years ago
  • trainer_state.json
    2.21 kB
    Upload trainer_state.json about 4 years ago