env name fix
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@@ -14,7 +14,7 @@ sudo apt-get install cmake
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```
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# Install language model python package
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Use the `setup_lm.sh` script in the root directory of this repository to create the `b2txt_lm` conda env and install the `lm-decoder` package to it. Before install, make sure that there is no `build` or `fc_base` directory in your [`runtime/server/x86`](runtime/server/x86) directory, as this may cause the build to fail.
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Use the `setup_lm.sh` script in the root directory of this repository to create the `b2txt25_lm` conda env and install the `lm-decoder` package to it. Before install, make sure that there is no `build` or `fc_base` directory in your [`runtime/server/x86`](runtime/server/x86) directory, as this may cause the build to fail.
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# Using a pretrained ngram language model
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@@ -32,21 +32,21 @@ See the bottom of the `language-model-standalone.py` script for a full list of i
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### run a 1gram model
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To run the 1gram language model from the root directory of this repository:
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```bash
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conda activate b2txt_lm
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conda activate b2txt25_lm
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python language_model/language-model-standalone.py --lm_path language_model/pretrained_language_models/openwebtext_1gram_lm_sil --do_opt --nbest 100 --acoustic_scale 0.325 --blank_penalty 90 --alpha 0.55 --redis_ip localhost --gpu_number 0
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```
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### run a 3gram model
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To run the 3gram language model from the root directory of this repository (requires ~60GB RAM):
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```bash
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conda activate b2txt_lm
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conda activate b2txt25_lm
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python language_model/language-model-standalone.py --lm_path language_model/pretrained_language_models/openwebtext_3gram_lm_sil --do_opt --nbest 100 --acoustic_scale 0.325 --blank_penalty 90 --alpha 0.55 --redis_ip localhost --gpu_number 0
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```
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### run a 5gram model
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To run the 5gram language model from the root directory of this repository (requires ~300GB of RAM):
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```bash
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conda activate b2txt_lm
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conda activate b2txt25_lm
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python language_model/language-model-standalone.py --lm_path language_model/pretrained_language_models/openwebtext_5gram_lm_sil --rescore --do_opt --nbest 100 --acoustic_scale 0.325 --blank_penalty 90 --alpha 0.55 --redis_ip localhost --gpu_number 0
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```
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