Text-to-Speech
MLX
Safetensors
dubbing_bridge
audio
speech-to-speech-translation
video-dubbing
apple-silicon
Instructions to use vanch007/Index-Echo-S2ST-9B-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vanch007/Index-Echo-S2ST-9B-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download vanch007/Index-Echo-S2ST-9B-MLX --local-dir Index-Echo-S2ST-9B-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Index-Echo-S2ST-9B-MLX
Native Apple Silicon (MLX) optimized weights for Index-Echo-S2ST-9B, supporting speech-to-speech translation and video dubbing with original speaker voice preservation.
GitHub Repository: vanch007/video-dub-mlx
Pure MLX Model Architecture
- stlm_llm/: 9B Speech Translation Language Model in pure MLX native tensor format (language_model.model.layers.*).
- bridge/: Hidden2CV Cross-Modal Bridge Mapper in native MLX format (mapper.safetensors).
- stlm_ckpt/: Audio Tower Conformer weights (model.safetensors).
- cosyvoice3_mlx/: Pure MLX CosyVoice3 acoustic model (zero ONNX).
- s3tokenizer_mlx/: Pure MLX S3Tokenizer V3 discrete speech codec.
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