Instructions to use fernandabufon/ft_stable_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fernandabufon/ft_stable_diffusion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fernandabufon/ft_stable_diffusion") 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("fernandabufon/ft_stable_diffusion") model = AutoModelForImageClassification.from_pretrained("fernandabufon/ft_stable_diffusion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27341c12394a2589429ddab1928bd7b3cfbcdb4e355e879d0ab401eb2d89b0fd
- Size of remote file:
- 343 MB
- SHA256:
- c4ef331e67d9458adc3538bc1a63c3b8dea894a80e005e211d4a5081f894204e
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