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1.1 KiB
1.1 KiB
Installation
The build of the decoder for deployment depends on several open-sourced projects, first clone or download them to current directory (i.e., deep_speech_2/deploy)
- KenLM: Faster and Smaller Language Model Queries
git clone https://github.com/kpu/kenlm.git
- OpenFst: A library for finite-state transducers
wget http://www.openfst.org/twiki/pub/FST/FstDownload/openfst-1.6.3.tar.gz
tar -xzvf openfst-1.6.3.tar.gz
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SWIG: Compiling for python interface requires swig, please make sure swig being installed.
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ThreadPool: A library for C++ thread pool
git clone https://github.com/progschj/ThreadPool.git
Then run the setup
python setup.py install --num_processes 4
cd ..
Deployment
For GPU deployment
CUDA_VISIBLE_DEVICES=0 python deploy.py
For CPU deployment
python deploy.py --use_gpu=False
More help for arguments
python deploy.py --help