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nkkbr
/
ViCA

Video-Text-to-Text
Transformers
Safetensors
English
llava
text-generation
multimodal
vision-language
video understanding
spatial reasoning
visuospatial cognition
qwen
llava-video
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use nkkbr/ViCA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nkkbr/ViCA with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForCausalLM
    
    processor = AutoProcessor.from_pretrained("nkkbr/ViCA")
    model = AutoModelForCausalLM.from_pretrained("nkkbr/ViCA")
  • Notebooks
  • Google Colab
  • Kaggle
ViCA / raw_evaluation_outputs
52.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
nkkbr's picture
nkkbr
upload raw evaluation outputs for analysis and reproducibility
2968096 about 1 year ago
  • vsi-bench_all_data
    upload raw evaluation outputs for analysis and reproducibility about 1 year ago
  • vsi-bench_arkitscenes
    upload raw evaluation outputs for analysis and reproducibility about 1 year ago
  • vsi-bench_only_base
    upload raw evaluation outputs for analysis and reproducibility about 1 year ago
  • vsi-bench_scannet
    upload raw evaluation outputs for analysis and reproducibility about 1 year ago
  • vsi-bench_scannetpp
    upload raw evaluation outputs for analysis and reproducibility about 1 year ago