question-generation | Neural Models for Key Phrase Detection | Natural Language Processing library

by ujjax Python Version: Current License: MIT

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

kandi X-RAY | question-generation Summary

question-generation is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Tensorflow, Neural Network applications. question-generation has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However question-generation build file is not available. You can download it from GitHub.

Neural Models for Key Phrase Detection and Question Generation

Support

Quality

Security

License

Reuse

Support

question-generation has a low active ecosystem.

It has 28 star(s) with 7 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 679 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of question-generation is current.

Quality

question-generation has 0 bugs and 0 code smells.

Security

question-generation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

question-generation code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

question-generation 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

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

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

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question-generation Key Features

No Key Features are available at this moment for question-generation.

question-generation Examples and Code Snippets

No Code Snippets are available at this moment for question-generation.

Community Discussions

Trending Discussions on question-generation

ValueError: You have to specify either decoder_input_ids or decoder_inputs_embeds

QUESTION

ValueError: You have to specify either decoder_input_ids or decoder_inputs_embeds

Asked 2020-Dec-06 at 22:12

Trying to convert a question-generation t5 model to torchscript model, while doing that Running into this error

ValueError: You have to specify either decoder_input_ids or decoder_inputs_embeds

here's the code that I ran on colab.

...

ANSWER

Answered 2020-Dec-06 at 22:12

I figured out what was causing the issue. Since the above model is sequential, it has both an encoder and a decoder. We need to pass the features into the encoder and labels (targets) into the decoder.

Source https://stackoverflow.com/questions/65140400

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

Vulnerabilities

No vulnerabilities reported

Install question-generation

You can download it from GitHub.
You can use question-generation 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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