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Minor fix for documentation (#1229)

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marcoyang1998 2023-08-29 16:39:48 +08:00 committed by GitHub
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3 changed files with 12 additions and 3 deletions
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5
docs/source/decoding-with-langugage-models/LODR.rst
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@ -71,9 +71,12 @@ As the initial step, let's download the pre-trained model.
.. code-block:: bash
$ GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Zengwei/icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29
$ pushd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
$ cd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
$ git lfs pull --include "pretrained.pt"
$ ln -s pretrained.pt epoch-99.pt # create a symbolic link so that the checkpoint can be loaded
$ cd ../data/lang_bpe_500
$ git lfs pull --include bpe.model
$ cd ../../..
To test the model, let's have a look at the decoding results **without** using LM. This can be done via the following command:

5
docs/source/decoding-with-langugage-models/rescoring.rst
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@ -34,9 +34,12 @@ As the initial step, let's download the pre-trained model.
.. code-block:: bash
$ GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Zengwei/icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29
$ pushd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
$ cd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
$ git lfs pull --include "pretrained.pt"
$ ln -s pretrained.pt epoch-99.pt # create a symbolic link so that the checkpoint can be loaded
$ cd ../data/lang_bpe_500
$ git lfs pull --include bpe.model
$ cd ../../..
As usual, we first test the model's performance without external LM. This can be done via the following command:

5
docs/source/decoding-with-langugage-models/shallow-fusion.rst
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@ -32,9 +32,12 @@ As the initial step, let's download the pre-trained model.
.. code-block:: bash
$ GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Zengwei/icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29
$ pushd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
$ cd icefall-asr-librispeech-pruned-transducer-stateless7-streaming-2022-12-29/exp
$ git lfs pull --include "pretrained.pt"
$ ln -s pretrained.pt epoch-99.pt # create a symbolic link so that the checkpoint can be loaded
$ cd ../data/lang_bpe_500
$ git lfs pull --include bpe.model
$ cd ../../..
To test the model, let's have a look at the decoding results without using LM. This can be done via the following command: