Instructions to use voidful/mhubert-unit-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/mhubert-unit-tts with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/mhubert-unit-tts") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/mhubert-unit-tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74f78d11e5b21827640613496eb7ed0db448397390a89284d9b7db7d87e58895
- Size of remote file:
- 769 MB
- SHA256:
- ef4af2463c92a7a5237ce7c7b9fc4dc996af0ce5ab66068a3c2bb0ab4830a7c8
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