Automatic Speech Recognition
Transformers
Safetensors
MLX
voxtral
mistral
quantized
8bit
llm
language-model
8-bit precision
Instructions to use VincentGOURBIN/voxtral-small-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VincentGOURBIN/voxtral-small-8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="VincentGOURBIN/voxtral-small-8bit")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("VincentGOURBIN/voxtral-small-8bit") model = AutoModelForSpeechSeq2Seq.from_pretrained("VincentGOURBIN/voxtral-small-8bit") - MLX
How to use VincentGOURBIN/voxtral-small-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir voxtral-small-8bit VincentGOURBIN/voxtral-small-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
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