Instructions to use prithivMLmods/Gender-Classifier-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Gender-Classifier-Mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Gender-Classifier-Mini") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Gender-Classifier-Mini") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Gender-Classifier-Mini") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 296c620ef7419e71aafcb1d5c3a4f108c36424db91521401bacda86c57006a8c
- Size of remote file:
- 372 MB
- SHA256:
- 672245c638f4bced0d3d2c6dc3b4c8e1b936ad88259e443dfbe919a677d3bae3
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