simple_effective_text_matching_Chinese | 为提高推理速度优化代码，并在中文语料上复现RE2模型

by Mleader2 Python Version: Current License: Apache-2.0

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kandi X-RAY | simple_effective_text_matching_Chinese Summary

simple_effective_text_matching_Chinese is a Python library. simple_effective_text_matching_Chinese has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

#为提高推理速度优化代码，并在中文语料上复现RE2模型 #目前是以point—wise的方式训练的，适合召回；如果想用于重排序，最好用pair-wise方式训练模型。 #目前是在同一个超参数下，自动训练10次，想要较长时间。如果想要快速结束，可以修改configs/main.json5中的"repeat"参数 #本模型在准确率上不如BERT等预训练模型，但不需要GPU且推理延迟低，预测速度快，更适合产业应用运行环境tensorflow1.12-1.15 This is the Tensorflow implementation for Chinese corpus of the ACL 2019 paper Simple and Effective Text Matching with Richer Alignment Features. Pytorch implementation: Up to now, based on Chinese corpus LCQMC. Use Chinese character vector. if you want to demo, please use commant such as "python demo.py configs/main.json5 wzk benchmark-0".

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simple_effective_text_matching_Chinese has a low active ecosystem.

It has 13 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

simple_effective_text_matching_Chinese has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of simple_effective_text_matching_Chinese is current.

Quality

simple_effective_text_matching_Chinese has no bugs reported.

Security

simple_effective_text_matching_Chinese has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

simple_effective_text_matching_Chinese is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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simple_effective_text_matching_Chinese releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed simple_effective_text_matching_Chinese and discovered the below as its top functions. This is intended to give you an instant insight into simple_effective_text_matching_Chinese implemented functionality, and help decide if they suit your requirements.

Train the model
Preprocess data
Return the current line number
Make a batch
Parse config file
Add parameters to args
Load a config file
Parse arguments
Compute the residual projection
Convolution layer
Applies bias to x
Runs the test suite
Run the pre - process
Prepare a dictionary for processing
Build a WordNet from a list of words
Add a word to the list
Build a class
Evaluate the model
Run pre - process
Run the optimizer
Tokenize a string
Load vocab from file
Create an indexer from a file
Decorator for registering a function
Get current line number
Validate the spec

Get all kandi verified functions for this library.

simple_effective_text_matching_Chinese Key Features

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simple_effective_text_matching_Chinese Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install simple_effective_text_matching_Chinese

install python >= 3.6 and pip
pip install -r requirements.txt
install Tensorflow 1.4 or above (the wheel file for Tensorflow 1.4 gpu version under python 3.6 can be found here)