Instructions to use barszot/yolo26x-feature-extract-minirys with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use barszot/yolo26x-feature-extract-minirys with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("barszot/yolo26x-feature-extract-minirys") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
yolo26x-feature-extract-minirys
To jest zfinetunowana wersja modelu YOLO26x, stworzonego oryginalnie przez Ultralytics. Model został zoptymalizowany specjalnie pod kątem zadania ekstrakcji cech (feature extraction). Model został wytrenowany na tym zbiorze danych: https://huggingface.co/datasets/barszot/isaac-sim-2d-detection-30-classes-tar-ready
Acknowledgements & Intellectual Property
- Base Model: YOLO26x by Ultralytics
- Original Repository: https://github.com/ultralytics/ultralytics
- License: GNU AGPL-3.0. This model is shared under the same open-source license as the original Ultralytics model, acknowledging their intellectual property.
Użycie (How to use)
from ultralytics import YOLO
from huggingface_hub import hf_hub_download
# Pobranie modelu z Hugging Face
model_path = hf_hub_download(repo_id="barszot/yolo26x-feature-extract-minirys", filename="best.pt")
# Wczytanie modelu
model = YOLO(model_path)
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