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
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## Model Summary
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JetlinkTTS is
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## Key Features
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## Model Summary
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JetlinkTTS is a tokenizer-free diffusion autoregressive text-to-speech model built for expressive multilingual speech generation. The upstream model card describes it as a **2B-parameter** model supporting **30 languages**, with **48kHz audio output**, trained on **over 2 million hours of multilingual speech data**. It also supports **voice cloning**, **voice design**, **streaming generation**, and **context-aware synthesis**. :contentReference[oaicite:1]{index=1}
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## Key Features
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