anuashok/ocr-captcha-v2

This model is a fine-tuned version of microsoft/trocr-base-printed on your custom dataset. captchas like

Training Summary

• CER (Character Error Rate): 0.02025931928687196
• Hyperparameters:
  • Learning Rate: 1.1081459294764632e-05
  • Batch Size: 4
  • Num Epochs: 3
  • Warmup Ratio: 0.07863134774153628
  • Weight Decay: 0.06248152825021373
  • Num Beams: 6
  • Length Penalty: 0.5095100725173662

Usage

from transformers import VisionEncoderDecoderModel, TrOCRProcessor
import torch
from PIL import Image

# Load model and processor
processor = TrOCRProcessor.from_pretrained("anuashok/ocr-captcha-v2")
model = VisionEncoderDecoderModel.from_pretrained("anuashok/ocr-captcha-v2")

# Load image
image = Image.open('path_to_your_image.jpg').convert("RGB")

# Prepare image
pixel_values = processor(image, return_tensors="pt").pixel_values

# Generate text
generated_ids = model.generate(pixel_values)
generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
print(generated_text)