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--- |
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library_name: transformers |
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tags: [] |
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--- |
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# Model Card for Florence-2-FT-ArabicOCR |
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Florence-2 for ArabicOCR |
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## Usage |
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```python |
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import requests |
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from PIL import Image |
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from transformers import AutoProcessor, AutoModelForCausalLM |
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model = AutoModelForCausalLM.from_pretrained("gagan3012/Florence-2-FT-ArabicOCR", trust_remote_code=True) |
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processor = AutoProcessor.from_pretrained("gagan3012/Florence-2-FT-ArabicOCR", trust_remote_code=True) |
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prompt = "<ArabicOCR>" |
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url = "https://datasets-server.huggingface.co/cached-assets/Fakhraddin/khatt/--/a3236e1dee690fbb4ce9ceadac24b2be375f5503/--/default/validation/0/image/image.jpg?Expires=1719446453&Signature=WaBqdA7YWlwmyVFf~Nr4l0Qm6uM34p9e7Df4GPLNA93qhg7VS3JgZpqHvHWA3ZRqaz7JbPANNSrEv27lskSAGcZ6ow168Lv2Yzkemv87mA6sbED9UqTQAyeSWgCZ6z-3OUHLIfHRtrlsSetKDSyhKSYhIHARx8tI-Z35wOhTXnPDWbq63rtrFQ1YFc~u-YzETwn7SWqXO-NJpl-JZ~xPSbYHzrDQtZgFxnrC~aEyVzJXdfdQ8v7AxzRoz5I6ISimDADy-KGu0d6LuYd3eAwf-LWwGbLEeNYtMZgevRJIFeDxi-75lYitmxiVG0BLfNFtJAJGYvjpeLsug0cIwo-pAg__&Key-Pair-Id=K3EI6M078Z3AC3" |
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image = Image.open(requests.get(url, stream=True).raw) |
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if image.mode != "RGB": |
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image = image.convert("RGB") |
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inputs = processor(text=prompt, images=image, return_tensors="pt") |
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generated_ids = model.generate( |
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input_ids=inputs["input_ids"], |
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pixel_values=inputs["pixel_values"], |
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max_new_tokens=1024, |
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do_sample=False, |
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num_beams=3 |
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) |
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generated_text = processor.batch_decode(generated_ids, skip_special_tokens=False)[0] |
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parsed_answer = processor.post_process_generation(generated_text, task="<ArabicOCR>", image_size=(image.width, image.height)) |
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print(parsed_answer) |
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``` |
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