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junaidamk
/
MuRIL-WIKINER-Malayalam

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

Instructions to use junaidamk/MuRIL-WIKINER-Malayalam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use junaidamk/MuRIL-WIKINER-Malayalam with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="junaidamk/MuRIL-WIKINER-Malayalam")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("junaidamk/MuRIL-WIKINER-Malayalam")
    model = AutoModelForTokenClassification.from_pretrained("junaidamk/MuRIL-WIKINER-Malayalam", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MuRIL-WIKINER-Malayalam
948 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
junaidamk's picture
junaidamk
add model
f3450f6 over 4 years ago
  • .gitattributes
    1.22 kB
    initial commit over 4 years ago
  • config.json
    976 Bytes
    add model over 4 years ago
  • pytorch_model.bin
    948 MB
    xet
    add model over 4 years ago