Instructions to use hassaanik/Face_Mask_Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hassaanik/Face_Mask_Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hassaanik/Face_Mask_Detector") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hassaanik/Face_Mask_Detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85d69d33af54c9fe2c71e4a8142f86aa3077927ba3b7ff8e5fd65dd5d332b9d5
- Size of remote file:
- 51.8 MB
- SHA256:
- 141bf613ef1c8394be56a228bacd5a594af4c467e2df10f4221d70c3041a597d
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