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:
# pip install -U transformers accelerate # 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
Download preprocessor_config.json from TencentARC/DSR_Suite-Model: direct link, hf CLI and curl.
- Browser
- Download file 569 Bytes
-
https://huggingface.co/TencentARC/DSR_Suite-Model/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://TencentARC/DSR_Suite-Model/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/TencentARC/DSR_Suite-Model/resolve/main/preprocessor_config.json
569 Bytes
| { | |
| "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 | |
| } | |