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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 /training_record
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
nkkbr's picture
nkkbr
update readme
ed35572 about 1 year ago
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    update readme about 1 year ago
  • vica-train_learning_rate.svg
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  • vica-train_loss_with_ema.svg
    384 kB
    update readme about 1 year ago