Instructions to use SummerChiam/rust_image_classification_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SummerChiam/rust_image_classification_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SummerChiam/rust_image_classification_5") 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_5") model = AutoModelForImageClassification.from_pretrained("SummerChiam/rust_image_classification_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download images/nonrust.png from SummerChiam/rust_image_classification_5: direct link, hf CLI and curl.
- Browser
- Download file 2.36 kB
-
https://huggingface.co/SummerChiam/rust_image_classification_5/resolve/main/images/nonrust.png
- Command line
-
hf download hf://SummerChiam/rust_image_classification_5/images/nonrust.png
-
curl -L -o nonrust.png https://huggingface.co/SummerChiam/rust_image_classification_5/resolve/main/images/nonrust.png
2.36 kB

- Xet hash:
- 279591784f5110b72d4b4d36c59c2a57edc00afe2b3f836bf5939512b4f5b295
- Size of remote file:
- 2.36 kB
- SHA256:
- 3ac8047a244d9a07d5c1adacb4cb4ec7b168847b75031a302894b5d8583771fc
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