Instructions to use Owos/tb-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Owos/tb-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Owos/tb-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import InceptinV3ForImageClassification model = InceptinV3ForImageClassification.from_pretrained("Owos/tb-classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe67dbf43568b4e8b8ab4156379ea2c97ef40455a3338eb994cb7b1b8a3e2eaf
- Size of remote file:
- 87.7 MB
- SHA256:
- ca5f1244c29356779660dad56ac2ee528c2c9ca83fb483168916014a17b59e1c
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