Instructions to use TheSleepyJo/cvt_eye_fold_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheSleepyJo/cvt_eye_fold_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TheSleepyJo/cvt_eye_fold_1") 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("TheSleepyJo/cvt_eye_fold_1") model = AutoModelForImageClassification.from_pretrained("TheSleepyJo/cvt_eye_fold_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 726df66c14b9008798ac1fc4871ebbfd304966fe2f101fd3f8b4393b146c3b39
- Size of remote file:
- 78.7 MB
- SHA256:
- 6e2e83157f2e46b792fa544c80787c45aaaef97eabdfbe948a0e431a05ce2841
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