Instructions to use ibombonato/vit-age-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibombonato/vit-age-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ibombonato/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("ibombonato/vit-age-classifier") model = AutoModelForImageClassification.from_pretrained("ibombonato/vit-age-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc858dbd1372c9128bfe8e503e6d6338f8603e85ce41e3a817d628d9521f56a7
- Size of remote file:
- 343 MB
- SHA256:
- e47edd4dc41606bbed2b8c36a06d9a13617be416f7935ec1eb50f2f424cf5b1e
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