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microsoft
/
trocr-large-printed

Image-to-Text
Transformers
PyTorch
Safetensors
vision-encoder-decoder
image-text-to-text
trocr
Model card Files Files and versions
xet
Community
8

Instructions to use microsoft/trocr-large-printed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use microsoft/trocr-large-printed 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="microsoft/trocr-large-printed")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageTextToText
    
    tokenizer = AutoTokenizer.from_pretrained("microsoft/trocr-large-printed")
    model = AutoModelForImageTextToText.from_pretrained("microsoft/trocr-large-printed")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Hub documentation

πŸ“‹ Documentation Enhancement Suggestion

#8 opened 3 months ago by
CroviaTrust

πŸ“‹ Documentation Enhancement Suggestion

#7 opened 3 months ago by
CroviaTrust

Adding ONNX file of this model

#6 opened 6 months ago by
ev4shin

How to get text position in TR-OCR

πŸ‘€β€οΈ 2
4
#5 opened almost 2 years ago by
maifeeulasad
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