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:
- f9ecfd88c9471d9574719d7996d1ef0da1db65ec988cfc9f933f4aa99f2de4bb
- Size of remote file:
- 377 MB
- SHA256:
- 94b5d51e107e0507d4acc976cfdadb64edd6fd06d1f751dadbf2fd1594274bf1
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