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--- |
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license: apache-2.0 |
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language: |
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- th |
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metrics: |
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- cer |
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datasets: |
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- rushai-dev/name_gen |
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widget: |
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- src: https://datasets-server.huggingface.co/assets/rushai-dev/name_gen/--/default/train/0/image/image.jpg |
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example_title: นาง กชพร กระจ่างจิต |
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- src: https://datasets-server.huggingface.co/assets/rushai-dev/name_gen/--/default/train/77/image/image.jpg |
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example_title: นาง บวรรัช มั่นคง |
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--- |
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```python |
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from transformers import TrOCRProcessor, AutoTokenizer, ViTFeatureExtractor, VisionEncoderDecoderModel |
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encode = 'rushai-dev/THAI-TrOCR' |
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decode = "xlm-roberta-base" |
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tokenizer = AutoTokenizer.from_pretrained(decode) |
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feature_extractor = ViTFeatureExtractor.from_pretrained(encode) |
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processor = TrOCRProcessor(feature_extractor=feature_extractor, tokenizer=tokenizer) |
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model = VisionEncoderDecoderModel.from_pretrained(encode) |
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``` |
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```python |
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from PIL import Image |
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image = Image.open("xxxxxxx.png").convert("RGB") |
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image |
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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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generated_text |
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``` |
