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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 / assets
5.35 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
nkkbr's picture
nkkbr
.
e2d3083 about 1 year ago
  • training_record
    update readme about 1 year ago
  • banner.png
    2.82 MB
    xet
    . about 1 year ago
  • data-scale-csr-effect.svg
    89.4 kB
    update readme about 1 year ago
  • table2.png
    475 kB
    xet
    update readme about 1 year ago
  • table3.png
    587 kB
    xet
    update readme about 1 year ago
  • vsi-bench-comparison.svg
    62 kB
    update readme about 1 year ago
  • vsi-bench-table.png
    673 kB
    xet
    update readme about 1 year ago