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:
- 57eca1c2464b3c55649e01133f2a767074b72e24a4907cb140344a89e5104bb8
- Size of remote file:
- 48.2 kB
- SHA256:
- cc381b114342b924e3805f8df00a45e1629afd3a1817a33b17415a70cfaad882
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