Instructions to use vms57464/Dogz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vms57464/Dogz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="vms57464/Dogz") 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("vms57464/Dogz") model = AutoModelForImageClassification.from_pretrained("vms57464/Dogz") - Notebooks
- Google Colab
- Kaggle
Dogz
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
Golden Retriever
Jack Russell Terrier
Pitbull Terrier
- Downloads last month
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Evaluation results
- Accuracyself-reported1.000


