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mohammad748
/
results

Token Classification
Transformers
Safetensors
English
ner
named-entity-recognition
Model card Files Files and versions
xet
Community

Instructions to use mohammad748/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mohammad748/results with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="mohammad748/results")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mohammad748/results", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
results / checkpoint-1756
266 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
mohammad748's picture
mohammad748
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  • config.json
    994 Bytes
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  • model.safetensors
    265 MB
    xet
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  • optimizer.pt
    58.6 kB
    xet
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  • rng_state.pth
    14.6 kB
    xet
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  • scheduler.pt
    1.47 kB
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    357 Bytes
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  • trainer_state.json
    7.83 kB
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  • training_args.bin
    5.2 kB
    xet
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