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
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Test to Speech pipeline
This custom pipeline is designed to do Text To Speech using the microsoft/speecht5_tts model.
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