chinese_name_ner | 中文名字命名实体识别，中文水利文献命名实体识别

by natureLanguageQing Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | chinese_name_ner Summary

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

chinese_name_ner

Support

Quality

Security

License

Reuse

Support

chinese_name_ner has a low active ecosystem.

It has 7 star(s) with 5 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

chinese_name_ner has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of chinese_name_ner is current.

Quality

chinese_name_ner has no bugs reported.

Security

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

License

chinese_name_ner does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

chinese_name_ner 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.

Top functions reviewed by kandi - BETA

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

Apply self attention
Apply layer
Compute the attention mask
Compute the position bias
Build a transformer model
Load weights from checkpoint
Multi - head attention layer
Compute relative position bias
Apply self attention to inputs
Compute the relative position bias
Extend the optimizer with gradient descent
Extend optimizer with layer adaptation
Extend optimizer with lazy optimizer
Main loop
Extend the optimizer with exponential moving average
Apply embedding
Compute the filter
Apply the final layers
Multi - head layer
Performs self attention
Apply embeddings
Apply final layers
Recompute gradients
Sample from inputs
Extends an exponential moving average
Extend optimizer with gradients

Get all kandi verified functions for this library.

chinese_name_ner Key Features

No Key Features are available at this moment for chinese_name_ner.

chinese_name_ner Examples and Code Snippets

No Code Snippets are available at this moment for chinese_name_ner.

Community Discussions

No Community Discussions are available at this moment for chinese_name_ner.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install chinese_name_ner

You can download it from GitHub.
You can use chinese_name_ner like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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