Instructions to use Jetlink/JetlinkTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jetlink/JetlinkTTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Jetlink/JetlinkTTS")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jetlink/JetlinkTTS", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45afd9afa29b02b0db6d0025d3849d2ef1e6f067c0d77e4b6af74cfc139fc622
- Size of remote file:
- 4.58 GB
- SHA256:
- f7f964cfa9da23653baec6e6f7750719977ad944ed9f95fe52fe3a620506891d
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