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:
- d79dc043246cd381484ba8d1e2c9369166e82aa1059370493ebde020db413748
- Size of remote file:
- 4.93 GB
- SHA256:
- 246f86d3719eb5bc195aac3b4313643df790d461c5c2c93b74365fcfe35979c2
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