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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3732d84031b7252646a4bd86874bd2b9490fcab59c367ee576cd7a88aba82ccb
- Size of remote file:
- 5.24 kB
- SHA256:
- e2c4fdbdebb424aa63f400126e3b4d2697a741a2c234bfe4df4d4635ccf2e368
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