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:
- 9951c75faf7e779f42d8e74d898370d46eca1e7f5d7665d762577717ef8d547a
- Size of remote file:
- 343 MB
- SHA256:
- 763fb60fc46d0ea775df0dcdce57e4608f34bfbef00fa8b026ff04b5d068dfa5
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