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:
# pip install -U transformers accelerate # 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
Download tokenizer.json from nkkbr/ViCA-ARKitScenes: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/nkkbr/ViCA-ARKitScenes/resolve/main/tokenizer.json
- Command line
-
hf download hf://nkkbr/ViCA-ARKitScenes/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nkkbr/ViCA-ARKitScenes/resolve/main/tokenizer.json
7.03 MB
File too large to display, you can check the raw version instead.