Text-to-Speech
Transformers
Safetensors
PyTorch
English
Chinese
breeze
text-generation
speech-generation
voice-clone
voice-design
voice-direction
cuda
Instructions to use Coder40-95/Breeze-TTS-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Coder40-95/Breeze-TTS-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Coder40-95/Breeze-TTS-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Coder40-95/Breeze-TTS-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Coder40-95/Breeze-TTS-2: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/Coder40-95/Breeze-TTS-2/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Coder40-95/Breeze-TTS-2/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Coder40-95/Breeze-TTS-2/resolve/main/tokenizer_config.json
1.16 MB
File too large to display, you can check the raw version instead.