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") - Notebooks
- Google Colab
- Kaggle
Commit ·
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README.md
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metrics:
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---
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# vit-age-classifier
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metrics:
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type: accuracy
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value: 0.8364999890327454
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---
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# vit-age-classifier
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