Instructions to use BreezeBlue/Breeze-TTS-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BreezeBlue/Breeze-TTS-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="BreezeBlue/Breeze-TTS-2")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("BreezeBlue/Breeze-TTS-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
error in colab
Downloading and registering custom 'breeze' code...
Critical Error during load: The checkpoint you are trying to load has model type breeze but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.
Thanks for reporting this.
Breeze TTS 2 uses a custom breeze model architecture that is implemented and registered by the inference repository. It cannot currently be loaded directly with the generic AutoModelForSeq2SeqLM.from_pretrained() example shown on the Hugging Face model page.
Please use the official inference repository instead:
git clone https://github.com/breezeblue-ai/breeze-tts.git
cd breeze-tts
python -m pip install -r requirements.txt
Then follow the inference examples in the repository README:
https://github.com/breezeblue-ai/breeze-tts#-quick-start