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:
- dab9ec263c3c50b8b876c2fe11896800050ae51546945dcef9a37b4928a1f92c
- Size of remote file:
- 3.31 kB
- SHA256:
- ea583f6be521323a7d659b9b8d3c21eb2ab5773e4ae1ce2070f25bfb6b1964cd
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