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:
or, if using PyTorch 2.x:pip install --upgrade torch-sparse
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.