Instructions to use SummerChiam/rust_image_classification_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SummerChiam/rust_image_classification_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SummerChiam/rust_image_classification_8") 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_8") model = AutoModelForImageClassification.from_pretrained("SummerChiam/rust_image_classification_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
9379fd7 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:712bebc4d676484624311c6e4b821f0db860aeb4ced6d5aa1ba55b6f8e2fd410
size 343264177
|