Instructions to use bosonai/higgs-tts-2-3b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bosonai/higgs-tts-2-3b-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="bosonai/higgs-tts-2-3b-base")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("bosonai/higgs-tts-2-3b-base") model = AutoModelForTextToWaveform.from_pretrained("bosonai/higgs-tts-2-3b-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32d7c7c89fd1f3e8632be3b328e0da1638ec950d6ff2de1ff3665c2dfdb7a1c1
- Size of remote file:
- 14 MB
- SHA256:
- 6dd765d355fffb62861e627373857c01d15fbf95ddaf7a6f5e7dff1d933ceb14
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