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from transformers import TrOCRProcessor, VisionEncoderDecoderModel |
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import requests |
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from PIL import Image |
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processor = TrOCRProcessor.from_pretrained("microsoft/trocr-base-handwritten") |
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model = VisionEncoderDecoderModel.from_pretrained("microsoft/trocr-base-handwritten") |
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url = "https://fki.tic.heia-fr.ch/static/img/a01-122-02.jpg" |
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image = Image.open(requests.get(url, stream=True).raw).convert("RGB") |
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pixel_values = processor(image, return_tensors="pt").pixel_values |
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generated_ids = model.generate(pixel_values) |
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generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0] |
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print(generated_text) |
