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JunHwi
/
kmhas_multilabel

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

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

  • Libraries
  • Transformers

    How to use JunHwi/kmhas_multilabel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JunHwi/kmhas_multilabel")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JunHwi/kmhas_multilabel")
    model = AutoModelForSequenceClassification.from_pretrained("JunHwi/kmhas_multilabel", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
kmhas_multilabel
452 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
JunHwi's picture
JunHwi
Update README.md
36628a7 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    854 Bytes
    Update README.md over 3 years ago
  • config.json
    1.25 kB
    multi-label model from checkpoint-6900 over 3 years ago
  • kmhas_dict.pickle
    128 Bytes
    xet
    add label map pickle file over 3 years ago
  • pytorch_model.bin
    452 MB
    xet
    multi-label model from checkpoint-6900 over 3 years ago
  • training_args.bin
    3.31 kB
    xet
    multi-label model from checkpoint-6900 over 3 years ago