SimCSE | SimCSE在中文任务上的简单实验

by bojone Python Version: Current License: No License

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

kandi X-RAY | SimCSE Summary

SimCSE is a Python library. SimCSE has no bugs, it has no vulnerabilities and it has low support. However SimCSE build file is not available. You can download it from GitHub.

SimCSE在中文任务上的简单实验

Support

Quality

Security

License

Reuse

Support

SimCSE has a low active ecosystem.

It has 517 star(s) with 89 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 3 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SimCSE is current.

Quality

SimCSE has no bugs reported.

Security

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

License

SimCSE 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

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

SimCSE has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Get the encoder for the transformer
Computes the loss of the similarity loss
L2 norm of vectors
Convert tqdm data into ids
Load data from a file
Return a tokenizer for the given path
Compute the Pearson correlation coefficient

Get all kandi verified functions for this library.

SimCSE Key Features

No Key Features are available at this moment for SimCSE.

SimCSE Examples and Code Snippets

No Code Snippets are available at this moment for SimCSE.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install SimCSE

You can download it from GitHub.
You can use SimCSE 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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