gpt-2-Pytorch | Simple Text-Generator with OpenAI gpt | Natural Language Processing library

by graykode Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | gpt-2-Pytorch Summary

gpt-2-Pytorch is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Bert applications. gpt-2-Pytorch has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet text. Due to our concerns about malicious applications of the technology, we are not releasing the trained model. As an experiment in responsible disclosure, we are instead releasing a much smaller model for researchers to experiment with, as well as a technical paper. from openAI Blog. This repository is simple implementation GPT-2 about text-generator in Pytorch with compress code.

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gpt-2-Pytorch has a medium active ecosystem.

It has 845 star(s) with 209 fork(s). There are 29 watchers for this library.

It had no major release in the last 6 months.

There are 14 open issues and 2 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of gpt-2-Pytorch is current.

Quality

gpt-2-Pytorch has 0 bugs and 0 code smells.

Security

gpt-2-Pytorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gpt-2-Pytorch code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gpt-2-Pytorch 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

gpt-2-Pytorch 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.

gpt-2-Pytorch saves you 169 person hours of effort in developing the same functionality from scratch.

It has 419 lines of code, 36 functions and 6 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed gpt-2-Pytorch and discovered the below as its top functions. This is intended to give you an instant insight into gpt-2-Pytorch implemented functionality, and help decide if they suit your requirements.

Generate text generator
Loads weights from a dictionary
Given a token return the best word
Generate a sequence of logits
Get a set of pair pairs from a word
Get encoder object
Encode text using bpe
Compute the logits of the given logits
Decode a list of tokens
Set embeddings
Forward computation
Compute attention
Splits the input tensors
Merge the contents of x

Get all kandi verified functions for this library.

gpt-2-Pytorch Key Features

No Key Features are available at this moment for gpt-2-Pytorch.

gpt-2-Pytorch Examples and Code Snippets

No Code Snippets are available at this moment for gpt-2-Pytorch.

Community Discussions

Trending Discussions on gpt-2-Pytorch

Copy large github file into existing repo without downloading/cloning

QUESTION

Copy large github file into existing repo without downloading/cloning

Asked 2020-Jul-13 at 19:20

How to i add bin file associated to this repo https://github.com/graykode/gpt-2-Pytorch to my existing private repo without downloading/cloning? There is a 500mb file that needs downloading to get the codebase to work that I need in my repo and don't want to download into my small hard disk during the cloning process. It's a noob question but i'm at a complete loss as to how to proceed. Please be nice.

...

ANSWER

Answered 2020-Jul-13 at 19:20

You can't, sorry. The maximum file size on Github is 100 MB. And for good reason, Git does not work well with large, binary files.

Simplest thing is to find a USB key or other external storage and use it as temporary space to store the file while you add it with git-lfs.

Or don't add the file to your repository. Download and cache it as part of your build process.

Source https://stackoverflow.com/questions/62881852

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

Vulnerabilities

No vulnerabilities reported

Install gpt-2-Pytorch

download GPT2 pre-trained model in Pytorch which huggingface/pytorch-pretrained-BERT already made! (Thanks for sharing! it's help my problem transferring tensorflow(ckpt) file to Pytorch Model!)
Now, You can run like this.
Text from Book 1984, George Orwell
Also You can Quick Starting in Google Colab

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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