Instructions to use prithivMLmods/Fashion-Product-baseColour with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Fashion-Product-baseColour with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Fashion-Product-baseColour") 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/Fashion-Product-baseColour") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Fashion-Product-baseColour") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9068071d0d6db8ef51243cc7d0738f3288b6d47d43f4f39e829a8bfb479246a8
- Size of remote file:
- 5.3 kB
- SHA256:
- d732915852aa8238abe1f128b3231ab9d60325b25b8e62363150b9e372e24184
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