Instructions to use amaye15/ViT-Base-Document-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amaye15/ViT-Base-Document-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amaye15/ViT-Base-Document-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("amaye15/ViT-Base-Document-Classifier") model = AutoModelForImageClassification.from_pretrained("amaye15/ViT-Base-Document-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff1835355e8e17d3347402e5793163337e5906b8ecc43db3bca8cd576cd04d9b
- Size of remote file:
- 4.98 kB
- SHA256:
- 395b4e206e02457e41c92696deea2ca6c69fb33a02070f513af966890697d976
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