| language: | |
| - en | |
| - zh | |
| license: mit | |
| pipeline_tag: automatic-speech-recognition | |
| tags: | |
| - ASR | |
| - Transcriptoin | |
| - Diarization | |
| - Speech-to-Text | |
| - mlx | |
| - speech-to-text | |
| - speech | |
| - transcription | |
| - asr | |
| - stt | |
| - mlx-audio | |
| library_name: mlx-audio | |
| # mlx-community/VibeVoice-ASR-bf16 | |
| This model was converted to MLX format from [`microsoft/VibeVoice-ASR`](https://huggingface.co/microsoft/VibeVoice-ASR) using mlx-audio version **0.3.0**. | |
| Refer to the [original model card](https://huggingface.co/microsoft/VibeVoice-ASR) for more details on the model. | |
| ## Use with mlx-audio | |
| ```bash | |
| pip install -U mlx-audio | |
| ``` | |
| ### CLI Example: | |
| ```bash | |
| python -m mlx_audio.stt.generate --model mlx-community/VibeVoice-ASR-bf16 --audio "audio.wav" | |
| ``` | |
| ### Python Example: | |
| ```python | |
| from mlx_audio.stt.utils import load_model | |
| from mlx_audio.stt.generate import generate_transcription | |
| model = load_model("mlx-community/VibeVoice-ASR-bf16") | |
| transcription = generate_transcription( | |
| model=model, | |
| audio_path="path_to_audio.wav", | |
| output_path="path_to_output.txt", | |
| format="txt", | |
| verbose=True, | |
| ) | |
| print(transcription.text) | |
| ``` | |