Instructions to use Joeyfully/Voice-Generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joeyfully/Voice-Generation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Joeyfully/Voice-Generation")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Joeyfully/Voice-Generation") model = AutoModelForTextToSpectrogram.from_pretrained("Joeyfully/Voice-Generation") - Notebooks
- Google Colab
- Kaggle
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# Radio TTS Quick Start
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This workspace fine-tunes a text-to-speech model on the dataset in `data/` and writes all outputs to `output/`. The training and testing scripts are available at https://github.com/Lambchem/Voice-Generation
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---
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language:
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- en
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tags:
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- text-to-speech
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- speecht5
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- voice-generation
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library_name: transformers
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license: mit
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---
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# Radio TTS Quick Start
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This workspace fine-tunes a text-to-speech model on the dataset in `data/` and writes all outputs to `output/`. The training and testing scripts are available at https://github.com/Lambchem/Voice-Generation
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