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:
# Load model directly from transformers import Reaction model = Reaction.from_pretrained("Mar2Ding/Dispider", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 316 Bytes
7c5517e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"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
}
|