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Download README.md from mknolan/model-loading-diagnostic: direct link, hf CLI and curl.
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https://huggingface.co/spaces/mknolan/model-loading-diagnostic/resolve/main/README.md
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curl -L -o README.md https://huggingface.co/spaces/mknolan/model-loading-diagnostic/resolve/main/README.md
800 Bytes
metadata
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.