Instructions to use Gatozu35/tortoise-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gatozu35/tortoise-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Gatozu35/tortoise-tts")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Gatozu35/tortoise-tts") model = AutoModel.from_pretrained("Gatozu35/tortoise-tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63e951b0d19a16cadcd20759f5e020bcbbd8a99d7e2b940bccd37fdcb581363f
- Size of remote file:
- 391 MB
- SHA256:
- 16e8153e9f8ffb00b116f7f67833df2802fcf81e6bc173acc3b3b4bf9f04189d
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