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 generation_config.json from Coder40-95/Breeze-TTS-2: direct link, hf CLI and curl.
- Browser
- Download file 251 Bytes
-
https://huggingface.co/Coder40-95/Breeze-TTS-2/resolve/main/generation_config.json
- Command line
-
hf download hf://Coder40-95/Breeze-TTS-2/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Coder40-95/Breeze-TTS-2/resolve/main/generation_config.json
251 Bytes
| { | |
| "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" | |
| } | |