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<title>V-JEPA 2 Video Classification Demo</title>
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<h1>V-JEPA 2: Streaming Video Classification</h1>
<nav class="links">
<a href="https://huggingface.co/collections/facebook/v-jepa-2-6841bad8413014e185b497a6"
target="_blank">πŸ€–
Hugging Face Collection</a>
<a href="https://github.com/facebookresearch/vjepa2" target="_blank">πŸ’» GitHub</a>
<a href="https://huggingface.co/papers/2506.09985" target="_blank">πŸ“‘ Paper</a>
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<section class="description">
<h4>πŸŽ₯ Video Classification</h4>
<p>This demo showcases a specialized version of V-JEPA 2, fine-tuned for real-time video action recognition!
Model optimized specifically for classifying 174 different actions from the Something-Something-V2
dataset.
Watch as it instantly understands what's happening in the video! ⚑
See instructions below to get started with your webcam. πŸš€
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<h2>Recorded Demo</h2>
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<source
src="https://huggingface.co/spaces/qubvel-hf/vjepa2-streaming-video-classification/resolve/main/misc/vjepa2-fastrtc-demo.mp4"
type="video/mp4">
Your browser does not support the video tag.
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<h2>Getting Started</h2>
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<h3>1. Clone the Repository</h3>
<pre><code>git clone https://huggingface.co/spaces/qubvel-hf/vjepa2-streaming-video-classification
cd vjepa2-streaming-video-classification</code></pre>
<h3>2. Install requirements</h3>
<pre><code>pip install -r requirements.txt</code></pre>
<h3>3. Run the Demo</h3>
<pre><code>gradio app.py</code></pre>
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<p>Built with ❀️ using <a href="https://huggingface.co/transformers" target="_blank">Hugging Face
Transformers</a></p>
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