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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 464ddfeca9951d2b01ba21503e9b142d06dd1e4ce492e3280a56b84c88783da8
- Size of remote file:
- 14.2 kB
- SHA256:
- 1d268ac255a6c083faad4615b0dc4cbdb3cece12ea20b61aa70a45e69eb36fdc
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