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@ -447,7 +447,8 @@ Download pretrained models
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If you don't want to train from scratch, you can download the pretrained models
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by visiting the following links:
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- `<https://huggingface.co/yfyeung/icefall-asr-librispeech-pruned_transducer_stateless7_ctc_bs-2022-12-14>`_
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- trained on LibriSpeech 100h: `<https://huggingface.co/yfyeung/icefall-asr-librispeech-pruned_transducer_stateless7_ctc_bs-2022-12-14>`_
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- trained on LibriSpeech 960h: `<https://huggingface.co/yfyeung/icefall-asr-librispeech-pruned_transducer_stateless7_ctc_bs-2023-01-29>`_
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See `<https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/RESULTS.md>`_
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for the details of the above pretrained models
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@ -514,7 +514,8 @@ are on CPU. You can use <code class="docutils literal notranslate"><span class="
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by visiting the following links:</p>
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<blockquote>
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<div><ul class="simple">
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<li><p><a class="reference external" href="https://huggingface.co/yfyeung/icefall-asr-librispeech-pruned_transducer_stateless7_ctc_bs-2022-12-14">https://huggingface.co/yfyeung/icefall-asr-librispeech-pruned_transducer_stateless7_ctc_bs-2022-12-14</a></p></li>
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<li><p>trained on LibriSpeech 100h: <a class="reference external" href="https://huggingface.co/yfyeung/icefall-asr-librispeech-pruned_transducer_stateless7_ctc_bs-2022-12-14">https://huggingface.co/yfyeung/icefall-asr-librispeech-pruned_transducer_stateless7_ctc_bs-2022-12-14</a></p></li>
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<li><p>trained on LibriSpeech 960h: <a class="reference external" href="https://huggingface.co/yfyeung/icefall-asr-librispeech-pruned_transducer_stateless7_ctc_bs-2023-01-29">https://huggingface.co/yfyeung/icefall-asr-librispeech-pruned_transducer_stateless7_ctc_bs-2023-01-29</a></p></li>
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</ul>
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<p>See <a class="reference external" href="https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/RESULTS.md">https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/RESULTS.md</a>
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for the details of the above pretrained models</p>
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