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arkhabbazan
/
ocr-digits-captcha

Image-to-Text
Transformers
Safetensors
vision-encoder-decoder
image-text-to-text
trocr
ocr
captcha
digits-captcha
synthetic-data
Model card Files Files and versions
xet
Community

Instructions to use arkhabbazan/ocr-digits-captcha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arkhabbazan/ocr-digits-captcha with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # pip install "transformers<5.0.0"
    from transformers import pipeline
    
    pipe = pipeline("image-to-text", model="arkhabbazan/ocr-digits-captcha")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("arkhabbazan/ocr-digits-captcha")
    model = AutoModelForMultimodalLM.from_pretrained("arkhabbazan/ocr-digits-captcha", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ocr-digits-captcha
1.34 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
arkhabbazan's picture
arkhabbazan
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860efdb 7 days ago
  • assets
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  • .gitattributes
    1.52 kB
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  • README.md
    2.76 kB
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  • config.json
    2.55 kB
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  • dataset_metadata.json
    85 Bytes
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  • evaluation_metrics.json
    575 Bytes
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  • generation_config.json
    903 Bytes
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  • model.safetensors
    1.34 GB
    xet
    Super-squash branch 'main' using huggingface_hub 7 days ago
  • processor_config.json
    431 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
    659 Bytes
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  • training_args.bin
    5.39 kB
    xet
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