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