Instructions to use armvectores/yolov8n_handwritten_text_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use armvectores/yolov8n_handwritten_text_detection with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("armvectores/yolov8n_handwritten_text_detection", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download test_blank.png from armvectores/yolov8n_handwritten_text_detection: direct link, hf CLI and curl.
- Browser
- Download file 716 kB
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https://huggingface.co/armvectores/yolov8n_handwritten_text_detection/resolve/e144d41b93d51e4b4eac005c5e4a5a38bd92b44d/test_blank.png
- Command line
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hf download hf://armvectores/yolov8n_handwritten_text_detection@e144d41b93d51e4b4eac005c5e4a5a38bd92b44d/test_blank.png
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curl -L -o test_blank.png https://huggingface.co/armvectores/yolov8n_handwritten_text_detection/resolve/e144d41b93d51e4b4eac005c5e4a5a38bd92b44d/test_blank.png
716 kB
