Audio Classification
MLX
wespeaker-resnet
speaker-embedding
speaker-verification
wespeaker
apple-silicon
Instructions to use Landon41/wespeaker-voxceleb-resnet34-LM-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Landon41/wespeaker-voxceleb-resnet34-LM-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir wespeaker-voxceleb-resnet34-LM-mlx Landon41/wespeaker-voxceleb-resnet34-LM-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| { | |
| "model_type": "wespeaker-resnet", | |
| "architectures": ["ResNet34Embedding"], | |
| "feat_dim": 80, | |
| "embed_dim": 256, | |
| "m_channels": 32, | |
| "num_params": 6630400, | |
| "pooling": "TSTP", | |
| "training_data": "VoxCeleb", | |
| "source_model": "Wespeaker/wespeaker-voxceleb-resnet34-LM", | |
| "framework": "mlx" | |
| } | |