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MohamedRashad
/
arabic-large-nougat

Image-to-Text
Transformers
Safetensors
Arabic
English
vision-encoder-decoder
image-text-to-text
arabic
ocr
books
markdown-extraction
vision-transformers
Model card Files Files and versions
xet
Community
1

Instructions to use MohamedRashad/arabic-large-nougat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MohamedRashad/arabic-large-nougat 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="MohamedRashad/arabic-large-nougat")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageTextToText
    
    tokenizer = AutoTokenizer.from_pretrained("MohamedRashad/arabic-large-nougat")
    model = AutoModelForImageTextToText.from_pretrained("MohamedRashad/arabic-large-nougat")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Code of Conduct
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โค๏ธ 1
#1 opened about 1 year ago by
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