Instructions to use prithivMLmods/facial-age-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/facial-age-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/facial-age-detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/facial-age-detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/facial-age-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d007afe02515216851cde4c43b7cf26415532db1a87b338651d6dce6b14241c1
- Size of remote file:
- 5.3 kB
- SHA256:
- a497a9eb5e81ae5cb20a2ceefdd1321aa32c6b27b5c4bd8f2816c6cf571b8aed
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