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:
- 008faa138aa0c06c94c933aa8a1b84865454823fd3b232847d216f99b6b65694
- Size of remote file:
- 4.99 GB
- SHA256:
- df5cfaab55697e4d71b8c6373e507a00ee62209f842cc880b8122733670bb7e7
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