Audio Classification
Transformers
Safetensors
pytorch_model_hub_mixin
model_hub_mixin
gender-classification
VoxCeleb
Instructions to use JaesungHuh/voice-gender-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JaesungHuh/voice-gender-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="JaesungHuh/voice-gender-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JaesungHuh/voice-gender-classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Push model using huggingface_hub.
Browse files- README.md +7 -7
- model.safetensors +2 -2
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This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- Library: [More Information Needed]
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- Docs: [More Information Needed]
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