Instructions to use prithivMLmods/open-age-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/open-age-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/open-age-detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/open-age-detection") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/open-age-detection", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download training_args.bin from prithivMLmods/open-age-detection: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/prithivMLmods/open-age-detection/resolve/main/training_args.bin
- Command line
-
hf download hf://prithivMLmods/open-age-detection/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prithivMLmods/open-age-detection/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 86f5fb76e9472cfa50851a80a9b79614737787ad90ee1a6b7977425b7656af2f
- Size of remote file:
- 5.3 kB
- SHA256:
- 934b156616eb42b0372213043039ea9bbb8119e6566468a293ca4bdd27d98d7a
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