Instructions to use ru4rg/msr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ru4rg/msr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ru4rg/msr") 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("ru4rg/msr") model = AutoModelForImageClassification.from_pretrained("ru4rg/msr") - Notebooks
- Google Colab
- Kaggle
msr
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
cast iron bathtub
heating radiator
steel bathtub
steel cable
steel pipe
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Evaluation results
- Accuracyself-reported0.670




