Video-Text-to-Text
Transformers
Safetensors
dispider_reaction
video
streaming-video
multimodal
qwen2
cvpr-2025
Instructions to use Mar2Ding/Dispider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mar2Ding/Dispider with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import Reaction model = Reaction.from_pretrained("Mar2Ding/Dispider", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download perception_decision/added_tokens.json from Mar2Ding/Dispider: direct link, hf CLI and curl.
- Browser
- Download file 127 Bytes
-
https://huggingface.co/Mar2Ding/Dispider/resolve/main/perception_decision/added_tokens.json
- Command line
-
hf download hf://Mar2Ding/Dispider/perception_decision/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/Mar2Ding/Dispider/resolve/main/perception_decision/added_tokens.json
127 Bytes
| { | |
| "<has_answer>": 151646, | |
| "<to_do>": 151647, | |
| "<|endoftext|>": 151643, | |
| "<|im_end|>": 151645, | |
| "<|im_start|>": 151644 | |
| } | |