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update results.md (adding hugging face link)
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@ -954,7 +954,7 @@ See <https://github.com/k2-fsa/icefall/pull/1976> for more details.
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| decoding method | test | dev | comment |
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| decoding method | test | dev | comment |
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|--------------------------------------|------------|------------|---------------------|
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|--------------------------------------|------------|------------|---------------------|
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| ctc-greedy-search | 3.96 | 3.74 | --epoch 50 --avg 24 |
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| ctc-greedy-search | 3.98 | 3.69 | --epoch 60 --avg 28 |
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The training command using 2 32G-V100 GPUs is:
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The training command using 2 32G-V100 GPUs is:
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```bash
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```bash
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@ -984,8 +984,8 @@ The decoding command is:
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export CUDA_VISIBLE_DEVICES="0"
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export CUDA_VISIBLE_DEVICES="0"
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for m in ctc-greedy-search; do
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for m in ctc-greedy-search; do
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./zipformer/ctc_decode.py \
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./zipformer/ctc_decode.py \
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--epoch 50 \
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--epoch 60 \
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--avg 24 \
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--avg 28 \
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--exp-dir zipformer/exp \
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--exp-dir zipformer/exp \
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--use-cr-ctc 1 \
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--use-cr-ctc 1 \
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--use-ctc 1 \
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--use-ctc 1 \
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@ -993,4 +993,8 @@ for m in ctc-greedy-search; do
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--max-duration 600 \
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--max-duration 600 \
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--decoding-method $m
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--decoding-method $m
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done
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done
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```
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```
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Pretrained models, training logs, decoding logs, tensorboard and decoding results
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are available at
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<https://huggingface.co/MistMoon/icefall-asr-aishell-zipformer-medium-cr-ctc-20250702>
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