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GalalEwida
/
SIA-MerchentName

Token Classification
Transformers
Safetensors
PyTorch
English
distilbert
named-entity-recognition
merchant-extraction
finance
Model card Files Files and versions
xet
Community

Instructions to use GalalEwida/SIA-MerchentName with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GalalEwida/SIA-MerchentName with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="GalalEwida/SIA-MerchentName")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("GalalEwida/SIA-MerchentName")
    model = AutoModelForTokenClassification.from_pretrained("GalalEwida/SIA-MerchentName")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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    initial commit 10 months ago
  • README.md
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  • config.json
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  • label_mappings.json
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  • model.safetensors
    265 MB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.34 kB
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  • vocab.txt
    232 kB
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