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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Missing finetune documentations
#13
by devops724 - opened
i want finetune this model in other languages
i have some dataset in format
audio_id|text
and in wavs i have .wav
files
is there any guide how i can finetune this model on other languages
IMO They do not want people to fine tune this. The way they released the 1 billion with no community support leads me to believe they're releasing open source so they can say they're releasing open source without embracing it. Very unfortunate.