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:
- 00f6de1623c99681773204f2bb704f286b842572822842a9b557ecc92181bec5
- Size of remote file:
- 687 MB
- SHA256:
- 7e42ca61096460c1b7078d91e3d07d3c3b5ddc67fe516b44fdf9643760658696
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