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/vision_tower/preprocessor_config.json from Mar2Ding/Dispider: direct link, hf CLI and curl.
- Browser
- Download file 316 Bytes
-
https://huggingface.co/Mar2Ding/Dispider/resolve/main/perception_decision/vision_tower/preprocessor_config.json
- Command line
-
hf download hf://Mar2Ding/Dispider/perception_decision/vision_tower/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Mar2Ding/Dispider/resolve/main/perception_decision/vision_tower/preprocessor_config.json
316 Bytes
| { | |
| "crop_size": 224, | |
| "do_center_crop": true, | |
| "do_normalize": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "CLIPFeatureExtractor", | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "resample": 3, | |
| "size": 224 | |
| } | |