Instructions to use osanseviero/hugging-geese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osanseviero/hugging-geese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="osanseviero/hugging-geese") 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("osanseviero/hugging-geese") model = AutoModelForImageClassification.from_pretrained("osanseviero/hugging-geese") - Notebooks
- Google Colab
- Kaggle
hugging-geese
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
dog
duck
goose
pigeon
swan
- Downloads last month
- 3
Evaluation results
- Accuracyself-reported0.964




