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:
- 8b77ab4089c477a83ad35878006747aef8c052d9f737d5dbfdd9233f4c9fc070
- Size of remote file:
- 1.26 GB
- SHA256:
- f60fd38bfa23e33ea97c8cab23c3cf5ad9169e8999a373b111baf64662f4b52b
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