Instructions to use kyutai/mimi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kyutai/mimi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kyutai/mimi")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("kyutai/mimi") model = AutoModel.from_pretrained("kyutai/mimi") - Inference
- Notebooks
- Google Colab
- Kaggle
A version with less quantizers
#5
by MajoRoth - opened
Hey, are you planning to publish a version with a less quantizers?
in the paper you used a version with 8 quantizers but the HF model has 32.
Thank you!
You can pass num_quantizers=8 to the encode method to use only 8 quantizers.