Safetensors
MLX
mlx-audio
granite_speech
speech-to-text
speech
transcription
asr
stt
8-bit precision
Instructions to use mlx-community/granite-4.0-1b-speech-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/granite-4.0-1b-speech-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/granite-4.0-1b-speech-8bit --local-dir granite-4.0-1b-speech-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
|
Download README.md from mlx-community/granite-4.0-1b-speech-8bit: direct link, hf CLI and curl.
- Browser
- Download file 1.17 kB
-
https://huggingface.co/mlx-community/granite-4.0-1b-speech-8bit/resolve/main/README.md
- Command line
-
hf download hf://mlx-community/granite-4.0-1b-speech-8bit/README.md
-
curl -L -o README.md https://huggingface.co/mlx-community/granite-4.0-1b-speech-8bit/resolve/main/README.md
1.17 kB
| license: apache-2.0 | |
| language: | |
| - multilingual | |
| - en | |
| - fr | |
| - de | |
| - es | |
| - pt | |
| - ja | |
| base_model: | |
| - ibm-granite/granite-4.0-1b-base | |
| library_name: mlx-audio | |
| tags: | |
| - mlx | |
| - speech-to-text | |
| - speech | |
| - transcription | |
| - asr | |
| - stt | |
| - mlx-audio | |
| # mlx-community/granite-4.0-1b-speech-8bit | |
| This model was converted to MLX format from [`ibm-granite/granite-4.0-1b-speech`](https://huggingface.co/ibm-granite/granite-4.0-1b-speech) using mlx-audio version **0.4.0**. | |
| Refer to the [original model card](https://huggingface.co/ibm-granite/granite-4.0-1b-speech) 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/granite-4.0-1b-speech-8bit --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/granite-4.0-1b-speech-8bit") | |
| transcription = generate_transcription( | |
| model=model, | |
| audio_path="path_to_audio.wav", | |
| output_path="path_to_output.txt", | |
| format="txt", | |
| verbose=True, | |
| ) | |
| print(transcription.text) | |
| ``` | |