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