Text-to-Audio
Transformers
Safetensors
qwen3_omni_moe
rasst
speech-translation
streaming-translation
research-artifact
Instructions to use gavinlaw/rasst-speech-llm-ja-cap16-denoise-ttag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gavinlaw/rasst-speech-llm-ja-cap16-denoise-ttag with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="gavinlaw/rasst-speech-llm-ja-cap16-denoise-ttag")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("gavinlaw/rasst-speech-llm-ja-cap16-denoise-ttag") model = AutoModelForMultimodalLM.from_pretrained("gavinlaw/rasst-speech-llm-ja-cap16-denoise-ttag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "eos_token_id": [ | |
| 151643, | |
| 151645 | |
| ], | |
| "talker_max_new_tokens": 4096, | |
| "talker_repetition_penalty": 1.05, | |
| "talker_temperature": 0.9, | |
| "talker_top_k": 50, | |
| "talker_top_p": 1.0, | |
| "transformers_version": "4.57.1" | |
| } | |