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

- Xet hash:
- fcdcd5bfba8600e4e563c9117ad08915f5093baf1b244d73c5427b4af819eb78
- Size of remote file:
- 61.8 kB
- SHA256:
- 151de7d7b903549ef02859ecd157acfb58e97af1d329141f351078ce53de75eb
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