rm -rf ~/.cache/huggingface/hub/*
huggingface-cli download onnx-community/lite-whisper-large-v3-ONNX --include "*.json" "onnx/encoder_model_q4.onnx" "onnx/decoder_model_merged_q4.onnx" --local-dir ./models/whisper-lite

# Pyannote segmentation (speaker diarization) — only default fp32 model needed
# Already bundled at models/pyannote-segmentation/ (from onnx-community/pyannote-segmentation-3.0)

# Pyannote embedding (speaker identification) — loaded via onnxruntime-node directly
huggingface-cli download deepghs/pyannote-embedding-onnx --include "model.onnx" --local-dir ./models/pyannote-embedding