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sunilregmi
/
NepPOS_Ebiquity

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

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

  • Libraries
  • Transformers

    How to use sunilregmi/NepPOS_Ebiquity with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="sunilregmi/NepPOS_Ebiquity")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sunilregmi/NepPOS_Ebiquity")
    model = AutoModelForTokenClassification.from_pretrained("sunilregmi/NepPOS_Ebiquity")
  • Notebooks
  • Google Colab
  • Kaggle
NepPOS_Ebiquity
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  • 1 contributor
History: 2 commits
sunilregmi's picture
sunilregmi
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1ab791b verified about 2 years ago
  • checkpoint-1353-epoch-3
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  • checkpoint-1804-epoch-4
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  • checkpoint-2000
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  • checkpoint-2255-epoch-5
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  • checkpoint-451-epoch-1
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  • checkpoint-902-epoch-2
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  • .gitattributes
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    initial commit about 2 years ago
  • config.json
    2.88 kB
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  • eval_results.txt
    121 Bytes
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  • model.safetensors
    436 MB
    xet
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  • model_args.json
    2.91 kB
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    1.28 kB
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  • training_args.bin

    Detected Pickle imports (1)

    • "simpletransformers.config.model_args.NERArgs"

    How to fix it?

    4.15 kB
    xet
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  • vocab.txt
    547 kB
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