Instructions to use sudo-s/modeversion1_m6_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/modeversion1_m6_e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/modeversion1_m6_e4") 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/modeversion1_m6_e4") model = AutoModelForImageClassification.from_pretrained("sudo-s/modeversion1_m6_e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56616c0b11ba29d4b874ae14d6ce81bae23458fe3b8df2183b20430da420f4e6
- Size of remote file:
- 344 MB
- SHA256:
- f5ad8cbb75e5a3f68ddde7874565b5293cee33a88a5ab8aeece96fe9aef323b8
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