Instructions to use diffusionai/detr-face-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffusionai/detr-face-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="diffusionai/detr-face-detection")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("diffusionai/detr-face-detection") model = AutoModelForObjectDetection.from_pretrained("diffusionai/detr-face-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ae602a43c48084925f2b575587fe276e7d06262265c1a3f9a098ffb20f0c18a
- Size of remote file:
- 167 MB
- SHA256:
- 138fb16a7a75bc6f05fd999b4b1cb124ef3d326b7bcbe82dcd3a80628aca7df8
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