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Mention the pypi packages.
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@@ -12,6 +12,8 @@ The main model handles english only, it has ~2.6b parameters.
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
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</a>
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</a>
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This requires the [moshi package](https://pypi.org/project/moshi/)
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with version 0.2.5 or later, which can be installed via pip.
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```bash
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```bash
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# wget https://github.com/metavoiceio/metavoice-src/raw/main/assets/bria.mp3
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# wget https://github.com/metavoiceio/metavoice-src/raw/main/assets/bria.mp3
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@@ -21,6 +23,9 @@ python -m moshi.run_inference --hf-repo kyutai/stt-2.6b-en bria.mp3
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#### MLX implementation
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#### MLX implementation
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[[Hugging Face]](https://huggingface.co/kyutai/stt-2.6b-en-mlx)
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[[Hugging Face]](https://huggingface.co/kyutai/stt-2.6b-en-mlx)
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This requires the [moshi-mlx package](https://pypi.org/project/moshi-mlx/)
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with version 0.2.5 or later, which can be installed via pip.
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```bash
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```bash
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# wget https://github.com/metavoiceio/metavoice-src/raw/main/assets/bria.mp3
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# wget https://github.com/metavoiceio/metavoice-src/raw/main/assets/bria.mp3
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python -m moshi_mlx.run_inference --hf-repo kyutai/stt-2.6b-en-mlx bria.mp3 --temp 0
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python -m moshi_mlx.run_inference --hf-repo kyutai/stt-2.6b-en-mlx bria.mp3 --temp 0
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