Instructions to use daveni/upside_down_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daveni/upside_down_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="daveni/upside_down_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("daveni/upside_down_classifier") model = AutoModelForImageClassification.from_pretrained("daveni/upside_down_classifier") - Notebooks
- Google Colab
- Kaggle
| datasets: | |
| - cifar100 | |
| widget: | |
| - src: https://huggingface.co/daveni/upside_down_classifier/resolve/main/meme_upside_down.jpg | |
| example_title: Upside down example | |
| - src: https://huggingface.co/daveni/upside_down_classifier/resolve/main/meme.jpg | |
| example_title: Original example | |
| # Upside Down Classifier |