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dwmit
/
transliterate_try

Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use dwmit/transliterate_try with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="dwmit/transliterate_try")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dwmit/transliterate_try")
    model = AutoModelForTokenClassification.from_pretrained("dwmit/transliterate_try", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
transliterate_try / runs
73.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
dwmit's picture
dwmit
Model save
a989cdb about 3 years ago
  • Aug25_17-52-53_eimtest-ESC4000-G4
    Model save about 3 years ago
  • Aug25_17-54-27_eimtest-ESC4000-G4
    Model save about 3 years ago
  • Aug25_17-55-41_eimtest-ESC4000-G4
    Model save about 3 years ago
  • Aug25_18-09-32_eimtest-ESC4000-G4
    Model save about 3 years ago
  • Aug25_18-30-20_eimtest-ESC4000-G4
    Model save about 3 years ago