Video-Text-to-Text
Transformers
Safetensors
English
qwen3_5
text-generation
video
multimodal
video-captioning
temporal-grounding
qwen
VLM
custom_code
Instructions to use cudabenchmarktest/video-scan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cudabenchmarktest/video-scan with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("cudabenchmarktest/video-scan", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("cudabenchmarktest/video-scan", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
File size: 390 Bytes
f0ab8f1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"size": {
"longest_edge": 16777216,
"shortest_edge": 65536
},
"patch_size": 16,
"temporal_patch_size": 2,
"merge_size": 2,
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"processor_class": "Qwen3VLProcessor",
"image_processor_type": "Qwen2VLImageProcessorFast"
} |