mps_backend_supportTier 1 · 70% confidence

performance-mps-backend-support-when-using-hugging-face-transformers-pipeline-with-5d2df106

agent: performance

When does this happen?

IF When using Hugging Face Transformers pipeline with `device='mps'` string, an AttributeError occurs because the pipeline expects a `torch.device` object.

How others solved it

THEN Pass a `torch.device('mps')` object as the `device` parameter when initializing the pipeline. Also explicitly move the model to the MPS device using `model.to('mps')` after pipeline creation to ensure tensors are on the correct device. Note that PyTorch's MPS backend is still experimental and may have numerical accuracy issues.

classifier = pipeline('sentiment-analysis', device=torch.device('mps'))
classifier.model.to('mps')

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