Text-to-Speech
Transformers
Safetensors
PyTorch
English
Chinese
breeze
text-generation
speech-generation
voice-clone
voice-design
voice-direction
cuda
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
File size: 251 Bytes
a3bd0a6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"bos_token_id": 2,
"depth_decoder_do_sample": true,
"depth_decoder_temperature": 0.9,
"do_sample": true,
"eos_token_id": [
1
],
"max_new_tokens": 750,
"pad_token_id": 0,
"temperature": 0.9,
"transformers_version": "4.57.3"
}
|