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
csm-1b
#18
by radfar - opened
No description provided.
我写下自己的经历,不代表我认同自己、认同那些经历,我甚至都不完全认同今天的自己。但每个人都有缺点和弱点,世上从来就没有完美的人,区别只在于有人能够面对、承认和反思,也有人不能够。
why call it opensource if it has llama dependency ? waste of everyone's time other than for paying with it or use it for wrong things who does not care about license anyway.
Zackh changed pull request status to closed