Instructions to use DamarJati/Face-Mask-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DamarJati/Face-Mask-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DamarJati/Face-Mask-Detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("DamarJati/Face-Mask-Detection") model = AutoModelForImageClassification.from_pretrained("DamarJati/Face-Mask-Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb783e6d7b55c3b8a8471515c49fa8b6fa509bf3fc38f11bd6fcfc244c08f468
- Size of remote file:
- 4.16 kB
- SHA256:
- 1ff30a20c1c0ab8cfa2214952514c508a9394fca8722e9de0ea7d9ce6fd809b1
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