P-tuning | novel method to tune language models | Dataset library

by THUDM Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | P-tuning Summary

P-tuning is a Python library typically used in Artificial Intelligence, Dataset, Bert applications. P-tuning has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However P-tuning build file is not available. You can download it from GitHub.

A novel method to tune language models. Codes and datasets for paper `GPT understands, too''.

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Quality

Security

License

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Support

P-tuning has a low active ecosystem.

It has 727 star(s) with 96 fork(s). There are 23 watchers for this library.

It had no major release in the last 6 months.

There are 14 open issues and 32 have been closed. On average issues are closed in 25 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of P-tuning is current.

Quality

P-tuning has no bugs reported.

Security

P-tuning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

P-tuning 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

P-tuning releases are not available. You will need to build from source code and install.

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

Forward the embedding
Predict the output
Emit embeddings
Get the query for the given input
Train a model on the given pattern
Write results to file
Computes the exact match between predictions
Evaluate the given model
Train a single single prediction step
Compute input features
Load training configs
Get the parts of the input
Extract parts of the pattern
Return the parts of the input example
Get the parts of the pattern
Add special input features
Create a trained model
Build a tensorflow logits tensors
Adds special input features
Get parts of the given example
Load examples from a given task directory
Get parts of the pattern
Find parts of the given example
Evaluate a single step
Train the model
Construct arguments for generation

Get all kandi verified functions for this library.

P-tuning Key Features

No Key Features are available at this moment for P-tuning.

P-tuning Examples and Code Snippets

No Code Snippets are available at this moment for P-tuning.

Community Discussions

Trending Discussions on P-tuning

How can i parse img tags with k6/loadimpact?

AWS - Step functions, use execution input within a TuningStep

AKKA TCP: Dropping write because queue is full

QUESTION

How can i parse img tags with k6/loadimpact?

Asked 2020-Dec-02 at 14:44

i'm using k6 loadtesting for my work now and have a problem. How can i parse links from site? (already use official examples for href links, but dont understand how to mutate this to work with images)

for example i'm trying with this site - top-tuning.ru (this is one of examples in my task at work). i need the script to parse img links and hrefs. I'm already trying the official exaples and can parse hrefs, head titles, langAttr, but there is no way for me to do the same with img. this structures works pretty well:

...

ANSWER

Answered 2020-Dec-02 at 14:44

With the following script I get your images:

Source https://stackoverflow.com/questions/65106529

QUESTION

AWS - Step functions, use execution input within a TuningStep

Asked 2020-Nov-15 at 08:11

I've written a simple AWS step functions workflow with a single step:

...

ANSWER

Answered 2020-Nov-06 at 21:24

The python SDK for step functions generates corresponding code, we need a string concatenation / format built into the Amazon States Language to accomplish what you desire.

Recently in August 2020, Amazon States Language introduced built-in functions such as string format into it's language spec. https://states-language.net/#appendix-b

Unfortunately, the python SDK is not up to date and does not support the new changes.

As a work around, maybe manually modify the definition before calling workflow create?

Source https://stackoverflow.com/questions/64681293

QUESTION

AKKA TCP: Dropping write because queue is full

Asked 2018-Mar-28 at 12:03

I connect to a TCP service using akka-tcp In very concurrent requests service crashes with this exception:

...

ANSWER

Answered 2018-Mar-28 at 12:03

The problem were because of buffer socket size of server that serves TCP service. After increasing the buffer size of both servers the problem resolved. see this:

https://www.cyberciti.biz/faq/linux-tcp-tuning/

Source https://stackoverflow.com/questions/49530445

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

Vulnerabilities

No vulnerabilities reported

Install P-tuning

You can download it from GitHub.
You can use P-tuning 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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