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Update README.md.

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@@ -17,18 +17,18 @@ 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 `TODO`.
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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 TODO
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  ```
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  to download `icefall`.
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- You can find the model information by visiting <https://github.com/k2-fsa/icefall/blob/TODO/egs/librispeech/ASR/transducer_stateless_multi_datasets/train.py#L198>.
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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 <https://github.com/k2-fsa/icefall/blob/2332ba312d7ce72f08c7bac1e3312f7e3dd722dc/egs/librispeech/ASR/transducer_stateless_multi_datasets/train.py#L198>.
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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.