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.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: apache-2.0
+tags:
+  - executorch
+  - xnnpack
+  - speaker-diarization
+  - on-device
+  - streaming
+pipeline_tag: audio-classification
+base_model: nvidia/diar_streaming_sortformer_4spk-v2
+---
+
+# Sortformer-ExecuTorch-XNNPACK
+
+Pre-exported [ExecuTorch](https://github.com/pytorch/executorch) `.pte` file
+for [Streaming Sortformer](https://huggingface.co/nvidia/diar_streaming_sortformer_4spk-v2)
+with **XNNPACK** backend (CPU). A streaming speaker diarization model that
+identifies up to 4 speakers in audio.
+
+## Installation
+
+```bash
+git clone https://github.com/pytorch/executorch/ ~/executorch
+cd ~/executorch && ./install_executorch.sh
+make sortformer-cpu
+```
+
+## Download
+
+```bash
+pip install huggingface_hub
+huggingface-cli download younghan-meta/Sortformer-ExecuTorch-XNNPACK --local-dir ~/sortformer
+```
+
+## Run
+
+```bash
+cmake-out/examples/models/sortformer/sortformer_runner \
+    --model_path ~/sortformer/sortformer.pte \
+    --audio_path ~/sortformer/poem.wav
+```
+
+Output shows detected speaker segments with start/end times.
+
+Optional flags:
+- `--threshold 0.5` -- speaker activity threshold (0.0-1.0)
+- `--chunk_len 124` -- encode chunk size in 80ms frames
+- `--fifo_len 124` -- FIFO buffer size in 80ms frames
+
+## Export Command
+
+```bash
+pip install "nemo_toolkit[asr]"
+python examples/models/sortformer/export_sortformer.py --backend xnnpack --output-dir ./sortformer_exports
+```
+
+## More Info
+
+- [Official ExecuTorch Sortformer guide](https://github.com/pytorch/executorch/tree/main/examples/models/sortformer)
+- [Original model](https://huggingface.co/nvidia/diar_streaming_sortformer_4spk-v2)

poem.wav

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sortformer.pte

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