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
File size: 680 Bytes
7b20070 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"additional_special_tokens": [
"<think>",
"</think>",
"<score>",
"</score>",
"<focus_audio>",
"</focus_audio>"
],
"audio_bos_token": "<|audio_bos|>",
"audio_eos_token": "<|audio_eos|>",
"audio_token": "<|AUDIO|>",
"eos_token": {
"content": "<|im_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"image_token": "<|IMAGE|>",
"pad_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"video_token": "<|VIDEO|>",
"vision_bos_token": "<|vision_bos|>",
"vision_eos_token": "<|vision_eos|>"
}
|