Instructions to use hiendang7613/vit-l-tiny-imagenet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiendang7613/vit-l-tiny-imagenet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hiendang7613/vit-l-tiny-imagenet") 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("hiendang7613/vit-l-tiny-imagenet") model = AutoModelForImageClassification.from_pretrained("hiendang7613/vit-l-tiny-imagenet") - Notebooks
- Google Colab
- Kaggle