CPM-1-Finetune | Fine Tune CPM-1

by TsinghuaAI Python Version: Current License: MIT

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

kandi X-RAY | CPM-1-Finetune Summary

CPM-1-Finetune is a Python library. CPM-1-Finetune 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.

Fine Tune CPM-1

Support

Quality

Security

License

Reuse

Support

CPM-1-Finetune has a low active ecosystem.

It has 76 star(s) with 19 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 50 have been closed. On average issues are closed in 155 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of CPM-1-Finetune is current.

Quality

CPM-1-Finetune has no bugs reported.

Security

CPM-1-Finetune has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CPM-1-Finetune is licensed under the MIT License. This license is Permissive.

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

Reuse

CPM-1-Finetune 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed CPM-1-Finetune and discovered the below as its top functions. This is intended to give you an instant insight into CPM-1-Finetune implemented functionality, and help decide if they suit your requirements.

Main function .
Add training arguments for training .
Load a checkpoint .
Backward of the loss function .
Get command line arguments .
Arguments for training data .
Initializes model parallel groups .
Save checkpoint to disk .
Clip gradients to max_norm .
Add command line options for model configuration .

Get all kandi verified functions for this library.

CPM-1-Finetune Key Features

No Key Features are available at this moment for CPM-1-Finetune.

CPM-1-Finetune Examples and Code Snippets

No Code Snippets are available at this moment for CPM-1-Finetune.

Community Discussions

No Community Discussions are available at this moment for CPM-1-Finetune.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install CPM-1-Finetune

You can download it from GitHub.
You can use CPM-1-Finetune 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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