Audio-Text-to-Text
Transformers
Safetensors
Chinese
English
qwen2_5_omni_thinker
speech
audio
speech-evaluation
expressive-speech
mandarin
chain-of-thought
ceaeval
Instructions to use TianRW/CEAEval-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TianRW/CEAEval-Model with Transformers:
# Load model directly from transformers import AutoTokenizer, GatedAttenQwen2_5omnithinker tokenizer = AutoTokenizer.from_pretrained("TianRW/CEAEval-Model") model = GatedAttenQwen2_5omnithinker.from_pretrained("TianRW/CEAEval-Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61f44bbc136e34173b53b93b1b0cb90542edbade544cc0d852f8362dbb68968b
- Size of remote file:
- 11.4 MB
- SHA256:
- 6aadb2e3d91baee6ca74f7b8fa71ce38d51a6c0c58a5d39489fb82b84a48bf79
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