Audio Classification
Transformers
Safetensors
English
wav2vec2
voice-gender-detection
male
female
biology
SFT
Instructions to use prithivMLmods/Common-Voice-Gender-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Common-Voice-Gender-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="prithivMLmods/Common-Voice-Gender-Detection")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Common-Voice-Gender-Detection") model = AutoModelForAudioClassification.from_pretrained("prithivMLmods/Common-Voice-Gender-Detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 950c2daaca86e36f94c208705c757a00efea7e2e40baea69fd67651066dfb4a5
- Size of remote file:
- 5.3 kB
- SHA256:
- 850a9a60f019a74cc10590083fc0d3944d7617757489a6f86d94c98f7be91b4c
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