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DipeshChaudhary
/
nepali-gec-binary-detector

Token Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use DipeshChaudhary/nepali-gec-binary-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DipeshChaudhary/nepali-gec-binary-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="DipeshChaudhary/nepali-gec-binary-detector")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DipeshChaudhary/nepali-gec-binary-detector")
    model = AutoModelForTokenClassification.from_pretrained("DipeshChaudhary/nepali-gec-binary-detector")
  • Notebooks
  • Google Colab
  • Kaggle
nepali-gec-binary-detector
501 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 41 commits
DipeshChaudhary's picture
DipeshChaudhary
Model save
bdb89e9 verified 8 months ago
  • runs
    Model save 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    6.07 kB
    Model save 8 months ago
  • config.json
    783 Bytes
    Training in progress, step 1000 8 months ago
  • model.safetensors
    496 MB
    xet
    Model save 8 months ago
  • special_tokens_map.json
    968 Bytes
    Training in progress, step 1000 8 months ago
  • tokenizer.json
    4.89 MB
    Training in progress, step 1000 8 months ago
  • tokenizer_config.json
    1.65 kB
    Training in progress, step 1000 8 months ago
  • training_args.bin
    5.97 kB
    xet
    Training in progress, step 1000 8 months ago