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Hammad712
/
efficientnet-b0-urdu-ocr

Fill-Mask
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use Hammad712/efficientnet-b0-urdu-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hammad712/efficientnet-b0-urdu-ocr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Hammad712/efficientnet-b0-urdu-ocr")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Hammad712/efficientnet-b0-urdu-ocr")
    model = AutoModelForMaskedLM.from_pretrained("Hammad712/efficientnet-b0-urdu-ocr", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
efficientnet-b0-urdu-ocr
5.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Hammad712's picture
Hammad712
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  • .gitattributes
    1.52 kB
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  • config.json
    716 Bytes
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  • merges.txt
    1.15 MB
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  • pytorch_model.bin
    524 MB
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  • special_tokens_map.json
    957 Bytes
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  • tokenizer_config.json
    1.25 kB
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  • vocab.json
    1.71 MB
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