Image Classification
Transformers
Safetensors
English
siglip
fashion
product
usage
Casual
Ethnic
Formal
Instructions to use prithivMLmods/Fashion-Product-Usage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Fashion-Product-Usage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Fashion-Product-Usage") 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-Usage") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Fashion-Product-Usage", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45c5fe9773bd7c96e1dd6126dbb3b678d4c85871b8dee3866284d610574344ed
- Size of remote file:
- 687 MB
- SHA256:
- 1a55f289f616fff148360e5ccfcadc0d193d70af67c1b8254e98004181aaa405
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