Instructions to use nateraw/vit-age-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/vit-age-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nateraw/vit-age-classifier") 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("nateraw/vit-age-classifier") model = AutoModelForImageClassification.from_pretrained("nateraw/vit-age-classifier") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a2f667d0e4dc9c6b1d149536baef2b2f7360b6ce7614d8ba054b361e03f9672
- Size of remote file:
- 343 MB
- SHA256:
- 4dc2e2d6b7c0e131f581c46658bafc5e773abe584477a7e2679787f51dbdefa6
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