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:
- 57428316c138b78189e48d375599b827d3e04cafa225c8b49fe27c22743ca4b2
- Size of remote file:
- 3.96 kB
- SHA256:
- 3769fb6b62ca456f3277d209635abca03d050345ad25b417e5a37020168e07f9
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