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Red-8
/
Gujarati_NER

Token Classification
Transformers
Safetensors
Gujarati
bert
Model card Files Files and versions
xet
Community

Instructions to use Red-8/Gujarati_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Red-8/Gujarati_NER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Red-8/Gujarati_NER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Red-8/Gujarati_NER")
    model = AutoModelForTokenClassification.from_pretrained("Red-8/Gujarati_NER", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Gujarati_NER
2.85 GB
Ctrl+K
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  • 1 contributor
History: 11 commits
Red-8's picture
Red-8
Upload model.safetensors
c04db62 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    93 Bytes
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  • config.json
    1.15 kB
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  • model.safetensors
    948 MB
    xet
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  • optimizer.pt
    1.9 GB
    xet
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  • rng_state.pth
    14.2 kB
    xet
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  • scheduler.pt
    1.06 kB
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    6.41 MB
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  • tokenizer_config.json
    1.27 kB
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  • trainer_state.json
    6.38 kB
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  • training_args.bin
    4.92 kB
    xet
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  • vocab.txt
    3.16 MB
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