Instructions to use sherab65/age-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sherab65/age-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sherab65/age-classification") 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("sherab65/age-classification") model = AutoModelForImageClassification.from_pretrained("sherab65/age-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee98130b5391f2f253725c61d6d624c7a7e691bace0db13ab58921a935f78bb8
- Size of remote file:
- 5.37 kB
- SHA256:
- fcb94810ab15332c54f3c1731f79c2d91fdd76d0b7bd98d2cb347212ed8e7278
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