Instructions to use lysandre/text-to-speech-pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/text-to-speech-pipeline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="lysandre/text-to-speech-pipeline")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("lysandre/text-to-speech-pipeline") model = AutoModelForTextToSpectrogram.from_pretrained("lysandre/text-to-speech-pipeline") - Notebooks
- Google Colab
- Kaggle
File size: 40 Bytes
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