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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("OEvortex/TTS-OLD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from OEvortex/TTS-OLD: direct link, hf CLI and curl.
- Browser
- Download file 10.3 MB
-
https://huggingface.co/OEvortex/TTS-OLD/resolve/main/tokenizer.json
- Command line
-
hf download hf://OEvortex/TTS-OLD/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/OEvortex/TTS-OLD/resolve/main/tokenizer.json
10.3 MB
File too large to display, you can check the raw version instead.