Error while initializing ZeroGPU

Models
7

1. Check GPU Availability in Space Settings

  • Many Hugging Face Spaces (especially on free/shared tiers) do not provide GPU access by default.
  • Go to Space Settings → Hardware and confirm if GPU is enabled. If not, enable GPU or switch to a paid tier that allows GPU usage.

2. Fix torch-sparse Version Issues

  • The error indicates a compatibility problem with torch-sparse.
  • Try upgrading (or downgrading) torch-sparse to a version matching your PyTorch version:
    pip install --upgrade torch-sparse
    or, if using PyTorch 2.x:
    pip install torch-sparse==latest_compatible_version
  • Also, ensure all dependencies are compatible in your requirements.txt.

3. Force CPU if GPU Unavailable

  • If your Space will not be allocated a GPU, ensure your code has a fallback to CPU. Example:
    import torch
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
tensor = tensor.to(device)
  • Remove any code that hard-requires a GPU if running on a CPU-only environment.

4. Restart and Rebuild the Space

  • After making changes, use the “Restart” and “Rebuild” options in your Space’s management panel.

Solution provided by Triskel Data Deterministic Ai.

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