Instructions to use sudo-s/modeversion1_m7_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/modeversion1_m7_e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/modeversion1_m7_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_m7_e4") model = AutoModelForImageClassification.from_pretrained("sudo-s/modeversion1_m7_e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a74af1e8efe591e9a95dc9fc71f46b8385828af9111e08b7ee8ba96892dc3bac
- Size of remote file:
- 344 MB
- SHA256:
- e5cb730fd6ed1598913102d0cee029d477b675228dd401a1e0a1ade5dbfaede6
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