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hd10
/
semeval2020_task11_tc

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

Instructions to use hd10/semeval2020_task11_tc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hd10/semeval2020_task11_tc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="hd10/semeval2020_task11_tc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("hd10/semeval2020_task11_tc")
    model = AutoModelForSequenceClassification.from_pretrained("hd10/semeval2020_task11_tc")
  • Notebooks
  • Google Colab
  • Kaggle
semeval2020_task11_tc
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  • 1 contributor
History: 7 commits
hd10's picture
hd10
Update model
34e536e about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    71 Bytes
    Create README about 5 years ago
  • bpe_encoder.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    3.92 MB
    xet
    Add tokenizer config about 5 years ago
  • config.json
    1.7 kB
    Update label names about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.63 GB
    xet
    Update model about 5 years ago
  • special_tokens_map.json
    161 Bytes
    Add tokenizer config about 5 years ago
  • tokenizer_config.json
    204 Bytes
    Add tokenizer config about 5 years ago