Instructions to use Andron00e/ViTForImageClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andron00e/ViTForImageClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Andron00e/ViTForImageClassification") 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("Andron00e/ViTForImageClassification") model = AutoModelForImageClassification.from_pretrained("Andron00e/ViTForImageClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53c52d812db5f7aa4a50d1240ef8f39a4f4326e35c224fc5ecb325aa105ffa52
- Size of remote file:
- 343 MB
- SHA256:
- 29df8d785c6b05cb0eea1d806fd30b1d70dfd689f8e8f6fbee854831e857970c
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