Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
huggingpics
Eval Results (legacy)
Instructions to use rizvandwiki/gender-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rizvandwiki/gender-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rizvandwiki/gender-classification") 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("rizvandwiki/gender-classification") model = AutoModelForImageClassification.from_pretrained("rizvandwiki/gender-classification", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 43a6641f2b8fc62774458b69c0546a1f3d8d0912c7f8f82385a41beada931099
- Size of remote file:
- 35.1 kB
- SHA256:
- 7c5095faa4f6589241ecafb42e7ec0178776e510b6afe533e23d86e8dcf6b733
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