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gagan3012
/
ArOCR

Image-to-Text
Transformers
PyTorch
TensorBoard
Arabic
vision-encoder-decoder
image-text-to-text
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use gagan3012/ArOCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gagan3012/ArOCR 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="gagan3012/ArOCR")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageTextToText
    
    tokenizer = AutoTokenizer.from_pretrained("gagan3012/ArOCR")
    model = AutoModelForImageTextToText.from_pretrained("gagan3012/ArOCR")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

hello

1
#3 opened over 2 years ago by
DRAGOO

Adding `safetensors` variant of this model

#2 opened about 3 years ago by
SFconvertbot

what preprocessor should I use to train the handwritten arabic ocr on this base of ArOCR model?

2
#1 opened over 3 years ago by
HGamal
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