Instructions to use guru-0430/CTTS-train12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guru-0430/CTTS-train12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="guru-0430/CTTS-train12")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("guru-0430/CTTS-train12", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "padding_side": "left", | |
| "padding_value": 0.0, | |
| "processor_class": "Qwen3TTSProcessor", | |
| "return_attention_mask": true | |
| } |