qubvel-hf commited on
Commit
75207e3
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1 Parent(s): 9321864
Files changed (1) hide show
  1. index.html +9 -24
index.html CHANGED
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  <body>
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  <div class="container">
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  <header>
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- <h1>VJEPA2 Video Classification Demo</h1>
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- <p class="subtitle">Real-time video classification using state-of-the-art VJEPA2 model</p>
 
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  </header>
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  <section class="description">
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  </section>
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  <section class="demo">
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- <h2>Live Demo</h2>
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  <div class="video-container">
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  <!-- Video will be embedded here -->
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  <div class="video-placeholder">
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  <h2>Getting Started</h2>
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  <div class="instructions">
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  <h3>1. Clone the Repository</h3>
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- <pre><code>git clone https://github.com/huggingface/transformers.git
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- cd transformers</code></pre>
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- <h3>2. Set Up Environment</h3>
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- <pre><code># Create and activate virtual environment
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- python -m venv .venv
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- source .venv/bin/activate # On Windows: .venv\Scripts\activate
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-
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- # Install requirements
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- pip install -r demo/requirements.txt</code></pre>
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  <h3>3. Run the Demo</h3>
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- <pre><code>cd demo
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- python app.py</code></pre>
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  </div>
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  </section>
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- <section class="requirements">
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- <h2>Requirements</h2>
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- <ul>
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- <li>Python 3.9+</li>
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- <li>PyTorch 2.1+</li>
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- <li>CUDA-compatible GPU (recommended)</li>
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- <li>Webcam or video input device</li>
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- </ul>
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- </section>
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-
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  <footer>
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  <p>Built with ❤️ using <a href="https://huggingface.co/transformers" target="_blank">Hugging Face
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  Transformers</a></p>
 
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  <body>
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  <div class="container">
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  <header>
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+ <h1>V-JEPA 2 - Streaming Video Classification</h1>
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+ <p class="subtitle">Real-time video classification using state-of-the-art V-JEPA 2 model pretrained on
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+ Something-Something-V2 dataset</p>
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  </header>
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  <section class="description">
 
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  </section>
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  <section class="demo">
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+ <h2>Recorded Demo</h2>
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  <div class="video-container">
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  <!-- Video will be embedded here -->
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  <div class="video-placeholder">
 
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  <h2>Getting Started</h2>
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  <div class="instructions">
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  <h3>1. Clone the Repository</h3>
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+ <pre><code>git clone https://huggingface.co/spaces/qubvel-hf/vjepa2-streaming-video-classification
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+ cd vjepa2-streaming-video-classification</code></pre>
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+ <h3>2. Install requirements</h3>
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+ <pre><code>pip install -r requirements.txt</code></pre>
 
 
 
 
 
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  <h3>3. Run the Demo</h3>
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+ <pre><code>gradio app.py</code></pre>
 
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  </div>
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  </section>
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  <footer>
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  <p>Built with ❤️ using <a href="https://huggingface.co/transformers" target="_blank">Hugging Face
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  Transformers</a></p>