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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("sesame/csm-1b") model = AutoModelForTextToWaveform.from_pretrained("sesame/csm-1b", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Emotion support request?
#12
by Bluebomber182 - opened
Would it be possible to include a option where you can make the AI voice sound angry or sad or afraid, etc?
I think you can do so by having multiple contexts per speaker. Say, one context refers to speaker one being angry, another context refers to speaker one being sad and so on. And use those accordingly to generate your audio.
Bluebomber182 changed discussion status to closed