Instructions to use ivensamdh/genderage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ivensamdh/genderage2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ivensamdh/genderage2") 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("ivensamdh/genderage2") model = AutoModelForImageClassification.from_pretrained("ivensamdh/genderage2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3d1fcb9b2b57dbf3f17ba42f882e1b263ff4f08e0026df2c203bd1b095ae64b
- Size of remote file:
- 3.39 kB
- SHA256:
- ac8bc01e3cda960e4d102882cdc1b5cd029fc0e060909683d1f805707567a48f
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