pretrained_word_embeddings | It is about how to load and aggregate | Natural Language Processing library

by sz128 Python Version: Current License: No License

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kandi X-RAY | pretrained_word_embeddings Summary

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

It is about how to load pretrained word embeddings in pytorch, e.g., ELMo\BERT\XLNET.

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Security

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Support

pretrained_word_embeddings has a low active ecosystem.

It has 9 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

pretrained_word_embeddings has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pretrained_word_embeddings is current.

Quality

pretrained_word_embeddings has 0 bugs and 0 code smells.

Security

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

pretrained_word_embeddings code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pretrained_word_embeddings does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Installation instructions, examples and code snippets are available.

It has 364 lines of code, 10 functions and 4 files.

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

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pretrained_word_embeddings Key Features

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pretrained_word_embeddings Examples and Code Snippets

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Community Discussions

Trending Discussions on pretrained_word_embeddings

How to store multidimensional array in cassandra and hive

QUESTION

How to store multidimensional array in cassandra and hive

Asked 2021-Dec-13 at 12:44

So, I am following this example:

https://keras.io/examples/nlp/pretrained_word_embeddings/

In this example, an embedding matrix is being generated in following secti

...

ANSWER

Answered 2021-Dec-13 at 12:44

Declare upper level collection as frozen like this:

embedding_matrix frozen>>

if you want to use it as a primary key.

In hive corresponding datatype is array>, see the manual.

Source https://stackoverflow.com/questions/70334155

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

Vulnerabilities

No vulnerabilities reported

Install pretrained_word_embeddings

python 3.6.x
pytorch 1.3.1
pip install gpustat [if gpu is used]
ELMo in allennlp: pip install allennlp
BERT/XLNET in transformers: pip install transformers

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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