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| title: InternVL2 Visual Extraction Demo | |
| emoji: 🖼️ | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| sdk_version: "3.25.0" | |
| app_file: app.py | |
| pinned: false | |
| # InternVL2 Visual Feature Extraction Demo | |
| This Space demonstrates the use of InternViT-6B for visual feature extraction as per the OpenGVLab/InternVL GitHub repository. | |
| ## Features | |
| - Loads InternViT-6B model for visual feature extraction | |
| - Extracts features from uploaded or sample images | |
| - Shows feature dimensions and processing time | |
| - Uses Gradio for the user interface | |
| ## Usage | |
| Upload an image or use the sample image to see the visual features that would be extracted for a multimodal model. | |
| ## System Requirements | |
| - GPU: A100 recommended | |
| - CUDA support | |
| --- | |
| Created by the OpenGVLab/InternVL team. Implementation by mknolan. |