Instructions to use suncy13/sample_footColor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suncy13/sample_footColor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="suncy13/sample_footColor") 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("suncy13/sample_footColor") model = AutoModelForImageClassification.from_pretrained("suncy13/sample_footColor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4da4cff22663e5a5879c91864f28798f80ab71b3992336fe37f9e4e1929506d6
- Size of remote file:
- 88.3 MB
- SHA256:
- 1ee5d06a5481edae95a3d8b07d7c867246f48e976f10807c1036847572d9a918
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