Text-to-Speech
Transformers
Safetensors
English
gemma
text-generation
tts
neucodec
audio-generation
research
speech-synthesis
text-generation-inference
Instructions to use BlandAI/BeigeTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlandAI/BeigeTTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="BlandAI/BeigeTTS")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BlandAI/BeigeTTS") model = AutoModelForCausalLM.from_pretrained("BlandAI/BeigeTTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "temperature": 0.1, | |
| "top_p": 0.97, | |
| "do_sample": true, | |
| "max_new_tokens": 500, | |
| "eos_token_id": [ | |
| 107, | |
| 262146 | |
| ] | |
| } |