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
metadata
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 using mlx-audio version 0.4.0.
Refer to the original model card for more details on the model.
Use with mlx-audio
pip install -U mlx-audio
CLI Example:
python -m mlx_audio.stt.generate --model mlx-community/granite-4.0-1b-speech-8bit --audio "audio.wav"
Python Example:
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)