Instructions to use elijahross/csm-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elijahross/csm-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="elijahross/csm-german")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("elijahross/csm-german") model = AutoModelForTextToWaveform.from_pretrained("elijahross/csm-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44ee36a8a30dd1aefabe84ca38e866ae43f1aa6229d822fd96b4ba2a194ef13b
- Size of remote file:
- 7.31 kB
- SHA256:
- fd8a1c6b2d3459a074c374f0486056953b894c4f3a719295feb5217e3aca779a
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