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:
- 2932c71ed9cc7671b0781c86e50ad7be5ec0d54715b8d73c4c787605f99689da
- Size of remote file:
- 11.5 GB
- SHA256:
- 9c896b019ec1a4fc950218e32797c30870d36ce1cd76f45b35de46495764a204
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