Instructions to use TimKond/diffusion-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TimKond/diffusion-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TimKond/diffusion-detection") 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("TimKond/diffusion-detection") model = AutoModelForImageClassification.from_pretrained("TimKond/diffusion-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
1840e63 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5ca49ae14f393414cabd82707f498157a8a793e8cdedae766e6169edd54203b0
size 343051797
|