---
tags:
- world-model
- vjepa
- video-prediction
- diffusion
---

# VJEPA Cognitive World Model

Hierarchical video-text model combining:
1. V-JEPA inspired video encoder
2. Contextual reasoning via transformer fusion
3. Diffusion-based future prediction

## Usage
```python
from transformers import AutoTokenizer, pipeline

model = VideoJEPA.from_pretrained("your-username/vjepa-world-model")
tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")

video = torch.randn(1, 3, 16, 112, 112)  # (B, C, T, H, W)
text = tokenizer("Person walking towards door", return_tensors="pt")

# Predict next 8 frames
future_frames = model.generate(video, text, timesteps=100)