Have a ComfyUI workflow? Get a readable Workflow Doc in your browser.Make a workflow readable.Try it now ↗
This model was converted to MLX format from openai/whisper-large-v3-turbo using mlx-audio-plus version 0.1.4.
Model source
Source description
This model was converted to MLX format from openai/whisper-large-v3-turbo using mlx-audio-plus version 0.1.4.
Sources
1 sourceVerified Aug 3
Model artifacts
1 artifactSource excerpts
2 excerpts--- library_name: mlx-audio-plus license: apache-2.0 base_model: - openai/whisper-large-v3-turbo tags: - mlx - whisper - speech-recognition - speech-to-text - stt pipeline_tag: automatic-speech-recognition --- # mlx-community/whisper-large-v3-turbo-4bit This model was converted to MLX format from [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) using [mlx-audio-plus](https://github.com/DePasqualeOrg/mlx-audio-plus) version **0.1.4**. ## Use with mlx-audio-plus ```bash pip install -U mlx-audio-plus ``` ### Command line ```bash mlx_audio.stt --model mlx-community/whisper-large-v3-turbo-4bit --audio audio.mp3 ``` ### Python ```python from mlx_audio.stt import transcribe result = transcribe( audio="audio.mp3", model="mlx-community/whisper-large-v3-turbo-4bit", ) print(result["text"]) ```
pip install -U mlx-audio-plus
mlx_audio.stt --model mlx-community/whisper-large-v3-turbo-4bit --audio audio.mp3
from mlx_audio.stt import transcribe
result = transcribe(
audio="audio.mp3",
model="mlx-community/whisper-large-v3-turbo-4bit",
)
print(result["text"])
Source context: 120 downloads · 0 likes · Pipeline automatic-speech-recognition · Library mlx-audio-plus · Repo hudsonai-app/whisper-large-v3-turbo-4bit