Instructions to use alexwww94/yolov8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexwww94/yolov8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alexwww94/yolov8", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This is a Hugging Face Hub model repository created for ultraytics; you still need to install ultraytics(https://github.com/ultralytics/ultralytics)
pip install ultraytics
Usage:
from transformers import AutoModelForObjectDetection
model = AutoModelForObjectDetection.from_pretrained('alexwww94/yolov8', trust_remote_code=True, yolo_model_config={"model": 'yolov8n'})
model('example.jpg')
Parameters for creating the yolov8 model are defined in yolo_model_config. Inference parameters for yolov8 can also be defined using args and kwargs:
model(*args, **kwargs)
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