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Readme update.

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laurent 2025-06-17 12:39:59 +02:00
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README.md
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@ -4,14 +4,14 @@ Delayed Streams Modeling (DSM) is a flexible formulation for streaming, multimod
## Speech To Text ## Speech To Text
### English only model ### English only model
The main model handles english only, it has ~2.6B parameters. The main model handles english only, it has ~2.6b parameters.
#### PyTorch implementation #### PyTorch implementation
[[Hugging Face]](https://huggingface.co/kyutai/stt-2.6b-en) [[Hugging Face]](https://huggingface.co/kyutai/stt-2.6b-en)
```bash ```bash
# wget https://github.com/metavoiceio/metavoice-src/raw/main/assets/bria.mp3 # wget https://github.com/metavoiceio/metavoice-src/raw/main/assets/bria.mp3
python -m moshi.run_inference --hf-repo kyutai/stt-2.6B-en bria.mp3 python -m moshi.run_inference --hf-repo kyutai/stt-2.6b-en bria.mp3
``` ```
#### MLX implementation #### MLX implementation
@ -56,7 +56,23 @@ can be triggered by setting the real-time factor, e.g. `--rtf 500` will process
the data as fast as possible. the data as fast as possible.
### English + French model ### English + French model
This model has ~1B parameters and supports both English and French. This model has ~1b parameters and supports both English and French.
#### PyTorch implementation
[[Hugging Face]](https://huggingface.co/kyutai/stt-1b-en_fr)
```bash
# wget https://github.com/metavoiceio/metavoice-src/raw/main/assets/bria.mp3
python -m moshi.run_inference --hf-repo kyutai/stt-1b-en_fr bria.mp3
```
#### MLX implementation
[[Hugging Face]](https://huggingface.co/kyutai/stt-1b-en_fr-mlx)
```bash
# wget https://github.com/metavoiceio/metavoice-src/raw/main/assets/bria.mp3
python -m moshi_mlx.run_inference --hf-repo kyutai/stt-1b-en_fr-mlx bria.mp3 --temp 0
```
#### Rust implementation #### Rust implementation
[[Hugging Face]](https://huggingface.co/kyutai/stt-1b-en_fr-candle) [[Hugging Face]](https://huggingface.co/kyutai/stt-1b-en_fr-candle)