feat: initial public release v0.1.0 — MLX port of pyannote-speaker-diarization-3.1

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.

tests/unit/test_diar_embedding_shape.py

@@ -0,0 +1,11 @@
+import mlx.core as mx
+from pyannote_diarization_3_1_mlx.embedding import EmbeddingModel
+from pyannote_diarization_3_1_mlx._config import EMB_DIM
+
+
+def test_embedding_output_shape():
+    m = EmbeddingModel()
+    fb = mx.zeros((2, 200, 80))  # (B, T, mel)
+    weights = mx.ones((2, 200))
+    emb = m(fb, weights)
+    assert emb.shape == (2, EMB_DIM), f"got {emb.shape}"