Video-Text-to-Text
Transformers
Safetensors
English
llava
text-generation
multimodal
vision-language
video understanding
spatial reasoning
visuospatial cognition
qwen
llava-video
Instructions to use nkkbr/ViCA-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nkkbr/ViCA-base with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("nkkbr/ViCA-base") model = AutoModelForCausalLM.from_pretrained("nkkbr/ViCA-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9fc3b4d6d5a79cb164ad840c5c8cdee7a96efb8e26db5ff505e87deccbe40a6
- Size of remote file:
- 7.99 kB
- SHA256:
- 9627e715bf4f40a2d6361144099e87edebfe4e64e1eeb6234eb6bab569df6d44
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