Instructions to use mlx-community/svara-tts-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/svara-tts-v1 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir svara-tts-v1 mlx-community/svara-tts-v1
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
docs: update self-references to mlx-community after transfer
Browse files
README.md
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@@ -75,7 +75,7 @@ import soundfile as sf
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import mlx.core as mx
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from mlx_audio.tts.utils import load_model
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model = load_model("
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chunks = []
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for result in model.generate(
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```bash
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mlx_audio.tts.generate \
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--model
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--text "नमस्ते, आप कैसे हैं?" \
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--voice "Hindi (Female)" \
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--temperature 0.75 \
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import mlx.core as mx
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from mlx_audio.tts.utils import load_model
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model = load_model("mlx-community/svara-tts-v1")
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chunks = []
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for result in model.generate(
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```bash
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mlx_audio.tts.generate \
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--model mlx-community/svara-tts-v1 \
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--text "नमस्ते, आप कैसे हैं?" \
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--voice "Hindi (Female)" \
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--temperature 0.75 \
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