ProphetNet | A research project for natural language generation, containing the official implementations by MSRA | Natural Language Processing library

by microsoft Python Version: Current License: MIT

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

kandi X-RAY | ProphetNet Summary

ProphetNet is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Bert applications. ProphetNet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ProphetNet build file is not available. You can download it from GitHub.

This repo provides the code for reproducing the experiments in ProphetNet. In the paper, we propose a new pre-trained language model called ProphetNet for sequence-to-sequence learning with a novel self-supervised objective called future n-gram prediction. We have released the ProphetNet baselines for GLGE benchmark (A New General Language Generation Evaluation Benchmark) in here. Have a try! :). We provide ProphetNet-X family models for Chinses(ProphetNet-Zh), Multi-lingual(ProphetNet-Multi), English open domain dialog(ProphetNet-Dialog), Chinese open domain dialog(ProphetNet-Dialog-Zh), code generation(ProphetNet-Code). The details are described in ProphetNet-X paper. This repo is still developing, feel free to report bugs and we will fix them ~.

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Quality

Security

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Support

ProphetNet has a low active ecosystem.

It has 463 star(s) with 74 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 33 open issues and 21 have been closed. On average issues are closed in 50 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ProphetNet is current.

Quality

ProphetNet has 0 bugs and 0 code smells.

Security

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

ProphetNet code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ProphetNet 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

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

ProphetNet 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.

ProphetNet saves you 2982 person hours of effort in developing the same functionality from scratch.

It has 11433 lines of code, 687 functions and 83 files.

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

Top functions reviewed by kandi - BETA

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

Forward a query
Set input buffer
Linear interpolation
Get input buffer
Evaluate a QGE file
Replace double quotes in text
Compute and return a list of scores
Convert a dstc7av file to Dataset
Convert a daily text file to a single file
Fix the input text
Check if a string is a digit
Process eval_fn
Test for ROUGE
Convert a daily dialog
Convert reddit txt to fout
Forward computation
Given a list of sequences return the distinct distances between them
Compute the score for the given images
Converts a pretrained Reddit
Compute the prediction
Checks all files in the given path
Compute the prediction map for the given predictions
Evaluate a single dataset
Convert tweets to finetune
Compute the cider score
Calculate the average score
Test ROUGE
Calculate the BLEU score

Get all kandi verified functions for this library.

ProphetNet Key Features

No Key Features are available at this moment for ProphetNet.

ProphetNet Examples and Code Snippets

No Code Snippets are available at this moment for ProphetNet.

Community Discussions

Trending Discussions on ProphetNet

ValueError: Unrecognized model in ./MRPC/. Should have a `model_type` key in its config.json, or contain one of the following strings in its name

QUESTION

ValueError: Unrecognized model in ./MRPC/. Should have a `model_type` key in its config.json, or contain one of the following strings in its name

Asked 2022-Jan-13 at 14:10

Goal: Amend this Notebook to work with Albert and Distilbert models

Kernel: conda_pytorch_p36. I did Restart & Run All, and refreshed file view in working directory.

Error occurs in Section 1.2, only for these 2 new models.

For filenames etc., I've created a variable used everywhere:

...

ANSWER

Answered 2022-Jan-13 at 14:10

Explanation:

When instantiating AutoModel, you must specify a model_type parameter in ./MRPC/config.json file (downloaded during Notebook runtime).

List of model_types can be found here.

Solution:

Code that appends model_type to config.json, in the same format:

Source https://stackoverflow.com/questions/70697470

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

Vulnerabilities

No vulnerabilities reported

Install ProphetNet

You can download it from GitHub.
You can use ProphetNet 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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