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:
- 8544cdd92de1fc64085b9e813b04039cde653c7b453387cd508788b1ae0e0f0a
- Size of remote file:
- 240 MB
- SHA256:
- a990825371506c16bcf0e8167bf24ccf82f65bb6a1dbcbfcf058d76f9b197e35
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