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-ARKitScenes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nkkbr/ViCA-ARKitScenes with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("nkkbr/ViCA-ARKitScenes") model = AutoModelForCausalLM.from_pretrained("nkkbr/ViCA-ARKitScenes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a64acac0616786ccba9c8b4adfab00a3d8f22e0e0561c3ce46dc05b96369f80c
- Size of remote file:
- 4.88 GB
- SHA256:
- cbd1fed511caf33eb4314d85e00bb4b04f1e079d02017ed9e949e5bd07fb6dc4
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