Object Detection
Transformers
PyTorch
TensorBoard
English
yolos
Generated from Trainer
Workplace Safety
Safety
Instructions to use DunnBC22/yolos-tiny-Hard_Hat_Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/yolos-tiny-Hard_Hat_Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="DunnBC22/yolos-tiny-Hard_Hat_Detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("DunnBC22/yolos-tiny-Hard_Hat_Detection") model = AutoModelForObjectDetection.from_pretrained("DunnBC22/yolos-tiny-Hard_Hat_Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e7433b21951892eeb3bb77802a88e1da6b21fd72a9c46b1405551b28a68e5fb
- Size of remote file:
- 26 MB
- SHA256:
- a02db545b5ccd38cef96f1d98a1d32d88629fa761fea13c2778e084c51e5d67f
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