2b1a3c1312
Byte-parity with pyannote-PyTorch reference (cosine 0.763718 identical at 6 decimals on 200 cross-window slot pairs). 2.5x faster than pyannote-MPS on Apple Silicon native. Extracted from gitea.tavportal.com/olivier/MLX_CONVERTOR commit 5f9eafa.
10 lines
289 B
Python
10 lines
289 B
Python
"""Unit test: load SegmentationModel weights from HF mlx-community repo."""
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import pytest
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from pyannote_diarization_3_1_mlx.segmentation import SegmentationModel
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@pytest.mark.integration
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def test_segmentation_loads_from_hf():
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m = SegmentationModel.from_hf()
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assert m is not None
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