Instructions to use sudo-s/modeversion2_m7_e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/modeversion2_m7_e8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/modeversion2_m7_e8") 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/modeversion2_m7_e8") model = AutoModelForImageClassification.from_pretrained("sudo-s/modeversion2_m7_e8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b34d6290000da02196ecf72f8f596f4ff2d63de7b4536cb34d59fb9b635ab8a5
- Size of remote file:
- 3.31 kB
- SHA256:
- 3a88f21fec07f5e9a922b6b4e065d23875f2454192a3f4349a3c3b21bdd8e975
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