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
- Xet hash:
- 9db0a367256ab144d283b130702301ff7e2d60fa3ad15bf2a8e647ff348a1d5a
- Size of remote file:
- 385 MB
- SHA256:
- bac7e85083dcded655d24eaadde7e6eea34c0da1b35fa2d284e641bd2b942a5e
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