Instructions to use codewithdark/csm-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codewithdark/csm-1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="codewithdark/csm-1b")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("codewithdark/csm-1b") model = AutoModelForTextToWaveform.from_pretrained("codewithdark/csm-1b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d96583ffdb9c5efed8a822d01e7aac88bd6e6ab74aad31659bac47a5225d2ee8
- Size of remote file:
- 17.2 MB
- SHA256:
- 80f511469b4aceda8c17ccafef2310eceeda9dd4589cf2c062bd0279eef5646d
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