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:
- 3acec592a538bd23dfc0740781e63ccbbf0413a11a81f328a424366883ed8f36
- Size of remote file:
- 110 MB
- SHA256:
- c6187b21a4e24e1538bdb67e505224b3a7b7cc3205e02630d170dda0545deeae
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