Instructions to use prithivMLmods/Fashion-Product-articleType with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Fashion-Product-articleType with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Fashion-Product-articleType") 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-articleType") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Fashion-Product-articleType") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3ba1c8aca4bcdf2f528b59a697586c625fed4176774c78c2bdcdb9111649517
- Size of remote file:
- 5.3 kB
- SHA256:
- f9163a5ec007ff025e10432cbd3915f99f01430565aa11925e67c83e8f011d0b
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