Image-to-Image
Transformers
Safetensors
neo_chat
feature-extraction
custom_code
image-generation
interleaved-generation
vbvr-pro
qwen3
Instructions to use Video-Reason/VBVR-Pro-SenseNova-U1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Video-Reason/VBVR-Pro-SenseNova-U1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-to-image", model="Video-Reason/VBVR-Pro-SenseNova-U1", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Video-Reason/VBVR-Pro-SenseNova-U1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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