Instructions to use shoni/comic-sans-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shoni/comic-sans-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="shoni/comic-sans-detector") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("shoni/comic-sans-detector") model = AutoModelForImageClassification.from_pretrained("shoni/comic-sans-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from shoni/comic-sans-detector: direct link, hf CLI and curl.
- Browser
- Download file 48 Bytes
-
https://huggingface.co/shoni/comic-sans-detector/resolve/main/.gitignore
- Command line
-
hf download hf://shoni/comic-sans-detector/.gitignore
-
curl -L -o .gitignore https://huggingface.co/shoni/comic-sans-detector/resolve/main/.gitignore
48 Bytes
| .ipynb_checkpoints/ | |
| .DS_Store | |
| .jupyter/ | |
| ./data/ | |