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-ScanNetPP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nkkbr/ViCA-ScanNetPP with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("nkkbr/ViCA-ScanNetPP") model = AutoModelForCausalLM.from_pretrained("nkkbr/ViCA-ScanNetPP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ca95333ae8816f83323a29845d9d5c4a74d60bf935eeb00ad4ea869caeb9c79
- Size of remote file:
- 7.99 kB
- SHA256:
- 04897223ce464671a7b5c1e2541ee4de236d6880f9d6e49f83d9cb9f0be2d37e
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