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")# 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") - Notebooks
- Google Colab
- Kaggle
Upload spModel.h5
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by shansuja - opened
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version https://git-lfs.github.com/spec/v1
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oid sha256:ddfdc08b49fc7881c8a1181a455f50026d40f2ecbb2021fdbbea3b8e4e4748b5
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size 2285560
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