Instructions to use cledoux42/GenderNew_v002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cledoux42/GenderNew_v002 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cledoux42/GenderNew_v002") 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("cledoux42/GenderNew_v002") model = AutoModelForImageClassification.from_pretrained("cledoux42/GenderNew_v002", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 6461aed837bcfcc455dea42c405fae6dbcfcfe2e283721097489c33aa8450771
- Size of remote file:
- 55.8 kB
- SHA256:
- 1564274f1c3c54f5cf49e800aebcd987634f3eb02bb2f3b389e26d85e8d64872
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