Instructions to use Sena/dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sena/dog with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sena/dog") 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("Sena/dog") model = AutoModelForImageClassification.from_pretrained("Sena/dog") - Notebooks
- Google Colab
- Kaggle
dog
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
buldog
golden
pug
- Downloads last month
- 12
Evaluation results
- Accuracyself-reported0.958


