Instructions to use sudo-s/modelversion01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/modelversion01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/modelversion01") 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("sudo-s/modelversion01") model = AutoModelForImageClassification.from_pretrained("sudo-s/modelversion01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b885c5bbb29df0040804b0cce90bdacc4513824040c4eed0416dfa5183d01608
- Size of remote file:
- 344 MB
- SHA256:
- 1caf1da67948cefee4124de0c497ec1d95020757f73c708aa093fcb2289e7c28
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