gpt-neo | model parallel GPT-2 and GPT-3-style models | Machine Learning library

by EleutherAI Python Version: v1.1.1 License: MIT

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

kandi X-RAY | gpt-neo Summary

gpt-neo is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Neural Network, Transformer applications. gpt-neo 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.

1T or bust my dudes . An implementation of model & data parallel GPT3-like models using the mesh-tensorflow library. Training and inference is officially supported on TPU and should work on GPU as well. This repository will be (mostly) archived as we move focus to our GPU-specific repo, GPT-NeoX.

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Quality

Security

License

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Support

gpt-neo has a medium active ecosystem.

It has 7866 star(s) with 892 fork(s). There are 180 watchers for this library.

It had no major release in the last 12 months.

There are 11 open issues and 128 have been closed. On average issues are closed in 72 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of gpt-neo is v1.1.1

Quality

gpt-neo has 0 bugs and 0 code smells.

Security

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

gpt-neo code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gpt-neo 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-neo releases are available to install and integrate.

Build file is available. You can build the component from source.

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

It has 2444 lines of code, 131 functions and 19 files.

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

Top functions reviewed by kandi - BETA

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

Construct a model function .
Sample from partial sequences .
Main function .
Simulate the model .
Attention layer .
Define a block of parameters .
Get optimizer .
Construct a text dataset from a text file .
Sample text using mlm model .
Creates tfrecord files .

Get all kandi verified functions for this library.

gpt-neo Key Features

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

gpt-neo Examples and Code Snippets

Aleph Alpha Client,Endpoints,Complete

Python

Lines of Code : 14

License : Permissive (MIT)

Copy

{
    "id": "6b17dd34-5dc0-4794-aacf-263311965178",
    "model_version": "EleutherAI/gpt-neo-2.7B",
    "completions": [
        {
            "log_probs": null,
            "completion": "Antidote for acute serine in superoxide anion from depycoid a

Community Discussions

Trending Discussions on gpt-neo

AttributeError: module transformers has no attribute TFGPTNeoForCausalLM

QUESTION

AttributeError: module transformers has no attribute TFGPTNeoForCausalLM

Asked 2021-Aug-04 at 19:14

I cloned this repository/documentation https://huggingface.co/EleutherAI/gpt-neo-125M

I get the below error whether I run it on google collab or locally. I also installed transformers using this

...

ANSWER

Answered 2021-Jul-31 at 20:36

Try without using from_tf=True flag like below:

Source https://stackoverflow.com/questions/68604289

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

Vulnerabilities

No vulnerabilities reported

Install gpt-neo

You can download it from GitHub.
You can use gpt-neo 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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