Instructions to use lumenggan/katara-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lumenggan/katara-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="lumenggan/katara-detector") 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("lumenggan/katara-detector") model = AutoModelForImageClassification.from_pretrained("lumenggan/katara-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 05e59438d46786dc58dbeeb179f44097c07354ff9048566d41614042adf1eb2c
- Size of remote file:
- 1.11 MB
- SHA256:
- 513e7f85161c9166fc588698511ed4e27e4dda790d9c0268f14e9bf4ecfdf1f6
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