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:
- 7a8c2ba4e9776d2efeca8623ac75592eb153e6df82afcc29ba35e59f0123678a
- Size of remote file:
- 5.3 kB
- SHA256:
- 60bfe4936cb8662967af80740b170b7ee49a77c617cfb4b4d72cb94fb4856548
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