Instructions to use thoth-AI/testing-TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thoth-AI/testing-TTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="thoth-AI/testing-TTS")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("thoth-AI/testing-TTS") model = AutoModelForTextToSpectrogram.from_pretrained("thoth-AI/testing-TTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from thoth-AI/testing-TTS: direct link, hf CLI and curl.
- Browser
- Download file 585 MB
-
https://huggingface.co/thoth-AI/testing-TTS/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://thoth-AI/testing-TTS/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/thoth-AI/testing-TTS/resolve/main/pytorch_model.bin
585 MB
- Xet hash:
- f6305bd9fdc81e4083a1e3d31864303cc683a9b33d0a3e2e60dc99706da92934
- Size of remote file:
- 585 MB
- SHA256:
- 26ee7cb7d1cf37d6c55481adf940988350dace85baded09dbf3a1516d59a3c15
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