Instructions to use chrisroush/savr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisroush/savr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chrisroush/savr") 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("chrisroush/savr") model = AutoModelForImageClassification.from_pretrained("chrisroush/savr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
savr
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
Clothes
Food
Furniture
Paint colors
Plants
- Downloads last month
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Evaluation results
- Accuracyself-reported0.902




