Video-Text-to-Text
Transformers
Safetensors
qwen2_5_vl
spatial-reasoning
4d-vision
vlm
text-generation-inference
Instructions to use TencentARC/DSR_Suite-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TencentARC/DSR_Suite-Model with Transformers:
# Load model directly from transformers import AutoProcessor, Qwen2_5_VLForConditionalGeneration_Spatial processor = AutoProcessor.from_pretrained("TencentARC/DSR_Suite-Model") model = Qwen2_5_VLForConditionalGeneration_Spatial.from_pretrained("TencentARC/DSR_Suite-Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 569 Bytes
5de562d | 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 | {
"do_convert_rgb": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.48145466,
0.4578275,
0.40821073
],
"image_processor_type": "Qwen2VLImageProcessor",
"image_std": [
0.26862954,
0.26130258,
0.27577711
],
"max_pixels": 230400,
"merge_size": 2,
"min_pixels": 784,
"patch_size": 14,
"processor_class": "Qwen2_5_VLProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"longest_edge": 230400,
"shortest_edge": 784
},
"temporal_patch_size": 2
}
|