picoGPT | extremely simple toy example

by bigeagle Python Version: Current License: MIT

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

kandi X-RAY | picoGPT Summary

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

A extremely simple toy example of a transformer-based language model. The model and method is based on Andrew Karpathy's awsome youtube video: Let’s build GPT: from scratch, in code, spelled out.

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Quality

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Support

picoGPT has a low active ecosystem.

It has 18 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of picoGPT is current.

Quality

picoGPT has no bugs reported.

Security

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

License

picoGPT 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

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

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

Installation instructions, examples and code snippets are available.

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picoGPT Key Features

No Key Features are available at this moment for picoGPT.

picoGPT Examples and Code Snippets

No Code Snippets are available at this moment for picoGPT.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install picoGPT

Traning can converge on an RTX2080Ti in about 15 minutes. Run this cmd for an interactive demo. The default training dataset is Chinese classical literatures "水浒传" and "红楼梦", which can be easily changed to anything you like.

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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