Instructions to use SummerChiam/rust_image_classification_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SummerChiam/rust_image_classification_10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SummerChiam/rust_image_classification_10") 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("SummerChiam/rust_image_classification_10") model = AutoModelForImageClassification.from_pretrained("SummerChiam/rust_image_classification_10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download images/rust.png from SummerChiam/rust_image_classification_10: direct link, hf CLI and curl.
- Browser
- Download file 4.33 kB
-
https://huggingface.co/SummerChiam/rust_image_classification_10/resolve/main/images/rust.png
- Command line
-
hf download hf://SummerChiam/rust_image_classification_10/images/rust.png
-
curl -L -o rust.png https://huggingface.co/SummerChiam/rust_image_classification_10/resolve/main/images/rust.png
4.33 kB

- Xet hash:
- c8b52f8795d6c7c8a4e4ae68770aadf8480bcb06152ba9e831edeced9bdaafe3
- Size of remote file:
- 4.33 kB
- SHA256:
- 06e0d98b99e7e0549b2c3d16200954341c7aeebe8a640acb11c3601f2106c937
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