Instructions to use OuteAI/OuteTTS-0.3-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OuteTTS
How to use OuteAI/OuteTTS-0.3-1B with OuteTTS:
import outetts enum = outetts.Models("OuteAI/OuteTTS-0.3-1B".split("/", 1)[1]) # VERSION_1_0_SIZE_1B cfg = outetts.ModelConfig.auto_config(enum, outetts.Backend.HF) tts = outetts.Interface(cfg) speaker = tts.load_default_speaker("EN-FEMALE-1-NEUTRAL") tts.generate( outetts.GenerationConfig( text="Hello there, how are you doing?", speaker=speaker, ) ).save("output.wav") - Notebooks
- Google Colab
- Kaggle
Add task
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README.md
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license: cc-by-nc-sa-4.0
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<style>
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table {
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- [WavTokenizer GitHub](https://github.com/jishengpeng/WavTokenizer) | [WavTokenizer HF](https://huggingface.co/novateur/WavTokenizer-large-speech-75token)
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- [CTC Forced Alignment](https://pytorch.org/audio/stable/tutorials/ctc_forced_alignment_api_tutorial.html)
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- [Qwen-2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B)
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- [OLMo-1B](https://huggingface.co/allenai/OLMo-1B-hf)
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license: cc-by-nc-sa-4.0
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pipeline_tag: text-to-speech
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---
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<style>
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table {
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- [WavTokenizer GitHub](https://github.com/jishengpeng/WavTokenizer) | [WavTokenizer HF](https://huggingface.co/novateur/WavTokenizer-large-speech-75token)
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- [CTC Forced Alignment](https://pytorch.org/audio/stable/tutorials/ctc_forced_alignment_api_tutorial.html)
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- [Qwen-2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B)
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- [OLMo-1B](https://huggingface.co/allenai/OLMo-1B-hf)
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