Instructions to use ares1123/gender_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ares1123/gender_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ares1123/gender_classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ares1123/gender_classifier") model = AutoModelForImageClassification.from_pretrained("ares1123/gender_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ares1123/gender_classifier: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/ares1123/gender_classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ares1123/gender_classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ares1123/gender_classifier/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- f13f2f2a066bafbf44e3d51b09209f197c64310631fe32a83e7aeebafcad5155
- Size of remote file:
- 343 MB
- SHA256:
- b83f41e9c55c246f178625ec44f48f03bdcbc4ebf96101e46a3e26cec0998d86
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