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:
- ecb2a72782dc57daa7b904c73ae9a882a0634474d51337a19544f7d01934b683
- Size of remote file:
- 372 MB
- SHA256:
- 67aedfbd1bcba0b0828c4c25504878dce9db52376ff551143064f89b40c50bd7
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