运行allennlp训练的模型，并使用webapi提供服务。
allennlp-runmodel的Python项目详细描述
allennlp运行模型
运行一个经过AllenNLP训练的模型，并使用webapi为其提供服务。
用法
运行程序
在Terminator中执行程序，选项--help将显示帮助消息：
$ allennlp-runmodel --help Usage: allennlp-runmodel [OPTIONS] COMMAND1 [ARGS]... [COMMAND2 [ARGS]...]... Start a webservice for running AllenNLP models.Options: -V, --version -h, --host TEXT TCP/IP host for HTTP server. [default: localhost] -p, --port INTEGER TCP/IP port for HTTP server. [default: 8000] -a, --path TEXT File system path for HTTP server Unix domain socket. Listening on Unix domain sockets is not supported by all operating systems. -l, --logging-config FILE Path to logging configuration file (JSON, YAML or INI) (ref: https://docs.python.org/l ibrary/logging.config.html#logging-config- dictschema) -v, --logging-level [critical|fatal|error|warn|warning|info|debug|notset] Sets the logging level, only affected when `--logging-config` not specified. [default: info] --help Show this message and exit.Commands: load Load a pre-trained AllenNLP model from it's archive file, and put it...
以及
$ allennlp-runmodel load --help Usage: allennlp-runmodel load [OPTIONS] ARCHIVE Load a pre-trained AllenNLP model from it's archive file, and put it into the webservice contrainer. Options: -m, --model-name TEXT Model name used in URL. eg: http://xxx.xxx.x xx.xxx:8000/?model=model_name -t, --num-threads INTEGER Sets the number of OpenMP threads used for parallelizing CPU operations. [default: 4(on this machine)] -w, --max-workers INTEGER Uses a pool of at most max_workers threads to execute calls asynchronously. [default: num_threads/cpu_count (1 on this machine)] -w, --worker-type [process|thread] Sets the workers execute in thread or process. [default: process] -d, --cuda-device INTEGER If CUDA_DEVICE is >=0, the model will be loaded onto the corresponding GPU. Otherwise it will be loaded onto the CPU. [default: -1] -e, --predictor-name TEXT Optionally specify which `Predictor` subclass; otherwise, the default one for the model will be used. --help Show this message and exit.
load可以多次调用子命令来加载多个模型。
例如：
allennlp-runmodel --port 8080 load --model-name model1 /path/of/model1.tar.gz load --model-name model2 /path/of/model2.tar.gz
从http客户端进行预测
curl \ --header "Content-Type: application/json"\ --request POST \ --data '{"premise":"Two women are embracing while holding to go packages.","hypothesis":"The sisters are hugging goodbye while holding to go packages after just eating lunch."}'\ http://localhost:8080/?model=model1
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