Video-Text-to-Text
Transformers
Safetensors
English
qwen3_vl
image-text-to-text
video
retrieval
reranking
qwen3-vl
Instructions to use hltcoe/RankVideo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hltcoe/RankVideo with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("hltcoe/RankVideo") model = AutoModelForImageTextToText.from_pretrained("hltcoe/RankVideo") - Notebooks
- Google Colab
- Kaggle
File size: 782 Bytes
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"crop_size": null,
"data_format": "channels_first",
"default_to_square": true,
"device": null,
"disable_grouping": null,
"do_center_crop": null,
"do_convert_rgb": true,
"do_normalize": true,
"do_pad": null,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "Qwen2VLImageProcessorFast",
"image_std": [
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],
"input_data_format": null,
"max_pixels": null,
"merge_size": 2,
"min_pixels": null,
"pad_size": null,
"patch_size": 16,
"processor_class": "Qwen3VLProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"return_tensors": null,
"size": {
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},
"temporal_patch_size": 2
}
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