Export NeMo FastConformer Hybrid Transducer Large Streaming to ONNX (#844)

scripts/nemo/fast-conformer-hybrid-transducer-ctc/run-transducer.sh

@@ -0,0 +1,40 @@
+#!/usr/bin/env bash
+# Copyright      2024  Xiaomi Corp.        (authors: Fangjun Kuang)
+
+set -ex
+
+if [ ! -e ./0.wav ]; then
+  # curl -SL -O https://hf-mirror.com/csukuangfj/icefall-asr-librispeech-streaming-zipformer-small-2024-03-18/resolve/main/test_wavs/0.wav
+  curl -SL -O https://huggingface.co/csukuangfj/icefall-asr-librispeech-streaming-zipformer-small-2024-03-18/resolve/main/test_wavs/0.wav
+fi
+
+ms=(
+80
+480
+1040
+)
+
+for m in ${ms[@]}; do
+  ./export-onnx-transducer.py --model $m
+  d=sherpa-onnx-nemo-streaming-fast-conformer-transducer-${m}ms
+  if [ ! -f $d/encoder.onnx ]; then
+    mkdir -p $d
+    mv -v encoder.onnx $d/
+    mv -v decoder.onnx $d/
+    mv -v joiner.onnx $d/
+    mv -v tokens.txt $d/
+    ls -lh $d
+  fi
+done
+
+# Now test the exported models
+
+for m in ${ms[@]}; do
+  d=sherpa-onnx-nemo-streaming-fast-conformer-transducer-${m}ms
+  python3 ./test-onnx-transducer.py \
+    --encoder $d/encoder.onnx \
+    --decoder $d/decoder.onnx \
+    --joiner $d/joiner.onnx \
+    --tokens $d/tokens.txt \
+    --wav ./0.wav
+done