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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcd21bf85f82ca51b9a978e515c1352ab735863646524e2f31395a573c98539c
- Size of remote file:
- 7.93 kB
- SHA256:
- 1774d1719f5acfd4458761b525a98cfd2bc79ac0a275da7b1231abb4eb759281
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