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:
- aa20ae71fc571b0e997664f1333bb07c94a0907bde7294b3f7f138455bfc4074
- Size of remote file:
- 344 MB
- SHA256:
- 0fdfc61dfea3f1433d7e9b3b2cc0ef21645930b717b6437130e68a1036f08e6b
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