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://huggingface.co/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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 170e48aae199b16cafe30037848ac6f6a8026fc22bd11405d3595796e1cf98f4
- Size of remote file:
- 343 MB
- SHA256:
- ca9afc84ce07b12da156dd1fa8c93b5208e78bfb4704a4d96c871fec9a90e824
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