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themohal
/
ner_urdu_roberta_large

Token Classification
Transformers
PyTorch
roberta
Generated from Trainer
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use themohal/ner_urdu_roberta_large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="themohal/ner_urdu_roberta_large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("themohal/ner_urdu_roberta_large")
    model = AutoModelForTokenClassification.from_pretrained("themohal/ner_urdu_roberta_large", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ner_urdu_roberta_large
1.42 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model
b00991b almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    End of training about 3 years ago
  • README.md
    1.05 kB
    Librarian Bot: Add base_model information to model almost 3 years ago
  • config.json
    1.03 kB
    End of training about 3 years ago
  • merges.txt
    456 kB
    End of training about 3 years ago
  • pytorch_model.bin
    1.42 GB
    xet
    End of training about 3 years ago
  • special_tokens_map.json
    280 Bytes
    End of training about 3 years ago
  • tokenizer.json
    2.11 MB
    End of training about 3 years ago
  • tokenizer_config.json
    351 Bytes
    End of training about 3 years ago
  • training_args.bin
    3.9 kB
    xet
    End of training about 3 years ago
  • vocab.json
    798 kB
    End of training about 3 years ago