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Update readme.
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README.md
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@@ -19,18 +19,19 @@ git lfs pull
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**Catuion**: You have to run `git lfs pull`. Otherwise, you will be SAD later.
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The model in this repo is trained using the commit `
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You can use
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```
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git clone https://github.com/k2-fsa/icefall
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cd icefall
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git checkout
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```
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to download `icefall`.
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You can find the model information by visiting
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In short, the encoder is a Conformer model with 8 heads, 12 encoder layers, 512-dim attention, 2048-dim feedforward;
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the decoder contains a 1024-dim embedding layer and a Conv1d with kernel size 2.
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**Catuion**: You have to run `git lfs pull`. Otherwise, you will be SAD later.
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The model in this repo is trained using the commit `2332ba312d7ce72f08c7bac1e3312f7e3dd722dc`.
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You can use
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```
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git clone https://github.com/k2-fsa/icefall
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cd icefall
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git checkout 2332ba312d7ce72f08c7bac1e3312f7e3dd722dc
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```
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to download `icefall`.
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You can find the model information by visiting
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<https://github.com/k2-fsa/icefall/blob/2332ba312d7ce72f08c7bac1e3312f7e3dd722dc/egs/librispeech/ASR/transducer_stateless_multi_datasets/train.py#L218>
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In short, the encoder is a Conformer model with 8 heads, 12 encoder layers, 512-dim attention, 2048-dim feedforward;
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the decoder contains a 1024-dim embedding layer and a Conv1d with kernel size 2.
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