metadata
title: Probing-Vis-Literacy-of-VLMs
emoji: 🐨
colorFrom: pink
colorTo: yellow
sdk: gradio
sdk_version: 5.20.0
app_file: app.py
pinned: false
license: mit
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
Docker GPU runtime
The container is pinned to PyTorch 2.9.1 with CUDA 13.0 for NVIDIA Blackwell/RTX 50-series compatibility.
Requirements:
- NVIDIA driver compatible with CUDA 13.0
- Docker Desktop with the WSL2 backend on Windows
- NVIDIA GPU access enabled in Docker
Build and run:
docker compose build
docker compose up
Open http://localhost:7860. The entry point executes a CUDA kernel before starting Gradio and exits with an actionable error if the GPU is unavailable.
To validate Docker GPU passthrough independently:
docker run --rm --gpus all nvidia/cuda:13.0.0-base-ubuntu22.04 nvidia-smi