Instructions to use lewtun/dog-vs-chicken with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lewtun/dog-vs-chicken with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="lewtun/dog-vs-chicken") 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("lewtun/dog-vs-chicken") model = AutoModelForImageClassification.from_pretrained("lewtun/dog-vs-chicken") - Notebooks
- Google Colab
- Kaggle
dog-vs-chicken
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
crispy fried chicken
poodle
- Downloads last month
- 5
Evaluation results
- Accuracyself-reported1.000

