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
- Xet hash:
- 65bdc3ff8d0cf2c795afff0f4ee9f4b0bce2a2043e8eee1307df70156f76fa99
- Size of remote file:
- 343 MB
- SHA256:
- 12e0d18114e2083b31f6397badc2bf3e105f8c8cbbfa71c33003426b222a5118
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