Instructions to use 100rab25/bridalMakeupClassifier_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 100rab25/bridalMakeupClassifier_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="100rab25/bridalMakeupClassifier_binary") 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("100rab25/bridalMakeupClassifier_binary") model = AutoModelForImageClassification.from_pretrained("100rab25/bridalMakeupClassifier_binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e82e0241fd80b817437821e55d335715732b951dbc1a571067c1077209081cf0
- Size of remote file:
- 110 MB
- SHA256:
- abecf1cea71f4a3400d0f69afc50d89d1273b8478b611fd87d0a24d292d11ad5
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