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: 1,016 Bytes
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"_name_or_path": "perception_decision",
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"max_position_embeddings": 32768,
"model_type": "dispider_decision",
"num_attention_heads": 12,
"num_hidden_layers": 28,
"num_key_value_heads": 2,
"perception_vision_tower": "vision_tower",
"perception_hidden_size": 1024,
"perception_projector_type": "pool",
"perception_select_feature": "patch",
"perception_select_layer": -2,
"pool_num": 4,
"resolution": 64,
"rms_norm_eps": 1e-06,
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"tokenizer_padding_side": "right",
"torch_dtype": "bfloat16",
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}
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