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", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 86e64d7b90cd164135b6424a181d7d8c27e620cab3112c6d5f528c1d9eb6a173
- Size of remote file:
- 24.2 kB
- SHA256:
- 418ada48a4ba3f9b0f902d023ba6573de9128b2e257823653167afe74156da79
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