Instructions to use ProjectPersonal/GenderClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProjectPersonal/GenderClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProjectPersonal/GenderClassifier") 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("ProjectPersonal/GenderClassifier") model = AutoModelForImageClassification.from_pretrained("ProjectPersonal/GenderClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d972a6b690b8ce1b3d4d882b2f5a36dcfb12945fda6e49f4633154941e5b176
- Size of remote file:
- 343 MB
- SHA256:
- e6b62d57821b2ccf469226a1cca33e4c0215afc02a48a552699dabd0ff80a172
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