Audio Classification
Transformers
Safetensors
English
wav2vec2
en-IN
voice-gender-detection
male
female
SFT
Instructions to use prithivMLmods/Common-Voice-Gender-Detection-IND-En with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Common-Voice-Gender-Detection-IND-En with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="prithivMLmods/Common-Voice-Gender-Detection-IND-En")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Common-Voice-Gender-Detection-IND-En") model = AutoModelForAudioClassification.from_pretrained("prithivMLmods/Common-Voice-Gender-Detection-IND-En", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88ba6c56b7b8c368309466503ec4d1fcc9326a0798f548d8f372f4f5bbd83893
- Size of remote file:
- 5.71 kB
- SHA256:
- ffb7b1b140af5c285f4eb68171fb149fba4834b04792dece377f48d8a7d280b3
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