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--- |
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title: InternVL2.5 Image Analyzer |
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emoji: 🖼️ |
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colorFrom: blue |
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colorTo: purple |
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sdk: gradio |
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sdk_version: 3.50.0 |
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app_file: app.py |
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pinned: false |
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--- |
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# InternVL2.5 Image Analyzer |
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This Hugging Face Space demonstrates the capabilities of the [InternVL2.5 model](https://huggingface.co/OpenGVLab/InternVL2_5-8B), a powerful multimodal model that can analyze images and respond to questions about them. |
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## Features |
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- Upload your own images for analysis |
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- Choose from predefined prompts or create your own |
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- Detailed image understanding and description |
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- Text recognition in images |
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- Visual reasoning capabilities |
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## Model Details |
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This space uses the InternVL2.5-8B model, which is a multimodal large language model (MLLM) with approximately 8.1 billion parameters. The model was developed by OpenGVLab and demonstrates strong capabilities in various visual understanding tasks. |
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### Architecture |
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InternVL2.5 combines a vision encoder (based on the InternViT architecture) with a language model, allowing it to process both visual and textual information. |
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## Example Prompts |
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Here are some prompts you can try: |
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1. Describe this image in detail. |
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2. What can you tell me about this image? |
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3. Is there any text in this image? If so, can you read it? |
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4. What is the main subject of this image? |
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5. What emotions or feelings does this image convey? |
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6. Describe the composition and visual elements of this image. |
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7. Summarize what you see in this image in one paragraph. |
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## Usage |
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1. Upload an image using the file uploader |
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2. Select a prompt from the dropdown or write your own |
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3. Click "Submit" to get the analysis |
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## Credits |
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This application uses the InternVL2.5 model by OpenGVLab. For more information about the model, check out: |
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- [OpenGVLab/InternVL Repository](https://github.com/OpenGVLab/InternVL) |
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- [InternVL Documentation](https://internvl.readthedocs.io/en/latest/) |
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## License |
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The InternVL2.5 model is licensed under the MIT License. |
