Image-to-Text
Transformers
pixeltext
feature-extraction
ocr
vision-language
paligemma
custom-model
text-extraction
document-ai
multi-language
custom_code
Instructions to use BabaK07/pixeltext-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BabaK07/pixeltext-ai with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="BabaK07/pixeltext-ai", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BabaK07/pixeltext-ai", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| """ | |
| Basic usage example for the Custom PaliGemma OCR Model. | |
| """ | |
| from transformers import AutoModel | |
| from PIL import Image | |
| def basic_ocr_example(): | |
| """Basic OCR usage example.""" | |
| # Load model | |
| model = AutoModel.from_pretrained("your-username/your-model-name", trust_remote_code=True) | |
| # Load image | |
| image = Image.open("document.jpg") | |
| # Extract text | |
| result = model.generate_ocr_text(image) | |
| print(f"Extracted text: {result['text']}") | |
| print(f"Confidence: {result['confidence']:.3f}") | |
| print(f"Quality: {result['quality']}") | |
| print(f"Method: {result['method']}") | |
| return result | |
| if __name__ == "__main__": | |
| basic_ocr_example() | |