Instructions to use not-lain/cloth_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use not-lain/cloth_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="not-lain/cloth_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("not-lain/cloth_classification") model = AutoModelForImageClassification.from_pretrained("not-lain/cloth_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df3ec41ae66023371ca98faf269b998573edc65666350800a68ac1a9e6dd4918
- Size of remote file:
- 5.11 kB
- SHA256:
- bbbb3dd222f2cb54af974abe18231aa62e0d76a57bfcc169b4340555d28504e1
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