Instructions to use sesame/csm-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sesame/csm-1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="sesame/csm-1b")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("sesame/csm-1b") model = AutoModelForTextToWaveform.from_pretrained("sesame/csm-1b") - Notebooks
- Google Colab
- Kaggle
Any existing code to host the real-time voice chat like the Conversational voice demo?
#24
by DrNicefellow - opened
It is amazing! I find the code on the model file is not like a real-time voice chat. Has anyone implemented it?
working on this right now with kallro.com, will have something soon...
working on this right now with kallro.com, will have something soon...
Great!