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mangaocr-hoogberta-v2
dsupa/mangaocr-hoogberta-v2
mangaocr-hoogberta-v2 is a image-to-text model from dsupa. Use it when you need a caption or text from an image. It is set up for transformers.
Here is how to use this model in PyTorch:
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At a glance
- Task
- Image-to-Text
- Library
- transformers
- Model type
- vision-encoder-decoder
- Access
- Public
- Created
- Apr 22, 2023
- Updated
- Apr 23, 2023
- SHA
- abe62d8d
Model card
From the Hugging Face model README
How to use
Here is how to use this model in PyTorch:
from transformers import TrOCRProcessor, VisionEncoderDecoderModel
from PIL import Image
processor = TrOCRProcessor.from_pretrained('dsupa/mangaocr-hoogberta-v2')
model = VisionEncoderDecoderModel.from_pretrained('dsupa/mangaocr-hoogberta-v2')
def predict(image_path):
image = Image.open(image_path).convert("RGB")
pixel_values = processor(images=image, return_tensors="pt").pixel_values
generated_ids = model.generate(pixel_values)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
return generated_text
image_path = "your_img.jpg"
pred = predit(image_path)
print(pred)
- Task
- Image-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- Created
- Apr 22, 2023
- Updated
- Apr 23, 2023