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See https://github.com/k2-fsa/sherpa-onnx/pull/125

exp/export-onnx.sh

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+#!/usr/bin/env bash
+
+# We use the model from
+# https://huggingface.co/ezerhouni/icefall-librispeech-rnn-lm/tree/main
+# as an example
+
+export CUDA_VISIBLE_DEVICES=
+
+if [ ! -f ./icefall-librispeech-rnn-lm/exp/pretrained.pt ]; then
+  GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/ezerhouni/icefall-librispeech-rnn-lm
+  pushd icefall-librispeech-rnn-lm/exp
+  git lfs pull --include "pretrained.pt"
+  ln -s pretrained.pt epoch-99.pt
+  popd
+fi
+
+python3 ./export-onnx.py \
+  --exp-dir ./icefall-librispeech-rnn-lm/exp \
+  --epoch 99 \
+  --avg 1 \
+  --vocab-size 500 \
+  --embedding-dim 2048 \
+  --hidden-dim 2048 \
+  --num-layers 3 \
+  --tie-weights 1
+

exp/no-state-epoch-99-avg-1.int8.onnx

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+size 102923418

exp/no-state-epoch-99-avg-1.onnx

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+size 411052576