Instructions to use Hsueh1001/yolo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hsueh1001/yolo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Hsueh1001/yolo")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Hsueh1001/yolo") model = AutoModelForObjectDetection.from_pretrained("Hsueh1001/yolo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a34ad5771b34e55113f38f2b5eae962c043f5360de6c98c4d76d10098fa76d88
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size 511218008
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