Instructions to use OEvortex/TTS-OLD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OEvortex/TTS-OLD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="OEvortex/TTS-OLD")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("OEvortex/TTS-OLD", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bdd24190844b9d3c6bbd30088e88fcc0c75834e37cb46cb66b677594c8ebec6
- Size of remote file:
- 3.75 GB
- SHA256:
- c68daecb60f80c8f1faf0a6d2e6ddd6de8e224fb19750f3e9a33bca43c552c90
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