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
File size: 129 Bytes
c837c7a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1ff30a20c1c0ab8cfa2214952514c508a9394fca8722e9de0ea7d9ce6fd809b1
size 4155
|