Instructions to use zhanxw/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhanxw/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="zhanxw/test") 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("zhanxw/test") model = AutoModelForImageClassification.from_pretrained("zhanxw/test") - Notebooks
- Google Colab
- Kaggle
- Size of remote file:
- 113 MB
- SHA256:
- f2a3c1bc4ebd5f87ab22331b134c593dd24288c2dbaf7071ad49b4d9c59842d6
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