Instructions to use prithivMLmods/Clipart-126-DomainNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Clipart-126-DomainNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Clipart-126-DomainNet") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Clipart-126-DomainNet") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Clipart-126-DomainNet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5c0d8a2e2c20e70bafab9fd8c3c1206722186de14fb4479b99469d02ea0475d
- Size of remote file:
- 5.3 kB
- SHA256:
- d60dfc3a7f3feaaf5fab64c05e89c94efd07d977dc0d1cf7a28f5e86e8cbf7e5
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