X-Transformer | Taming Pretrained Transformers for eXtreme Multi | Natural Language Processing library

by OctoberChang C++ Version: Current License: BSD-3-Clause

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

kandi X-RAY | X-Transformer Summary

X-Transformer is a C++ library typically used in Artificial Intelligence, Natural Language Processing, Pytorch, Bert, Neural Network, Transformer applications. X-Transformer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

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Quality

Security

License

Reuse

Support

X-Transformer has a low active ecosystem.

It has 133 star(s) with 28 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 11 have been closed. On average issues are closed in 80 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of X-Transformer is current.

Quality

X-Transformer has no bugs reported.

Security

X-Transformer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

X-Transformer is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions, examples and code snippets are available.

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X-Transformer Key Features

No Key Features are available at this moment for X-Transformer.

X-Transformer Examples and Code Snippets

No Code Snippets are available at this moment for X-Transformer.

Community Discussions

Trending Discussions on X-Transformer

finding an alternative for a let binding of a define-syntax

QUESTION

finding an alternative for a let binding of a define-syntax

Asked 2021-Feb-09 at 16:50

I'm in the process of trying to update some old guile 1.8 code to guile 3.x. I'm struggling to find a good replacement for a particular construct.

Here's an example that represents the old 1.8 code:

...

ANSWER

Answered 2021-Jan-30 at 12:53

You'll need to change make-nodes. If you think about an expression like

Source https://stackoverflow.com/questions/65953782

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

Vulnerabilities

No vulnerabilities reported

Install X-Transformer

Change directory into ./datasets folder, download and unzip each dataset. Each dataset contains the following files.
label_map.txt: each line is the raw text of the label
train_raw_text.txt, test_raw_text.txt: each line is the raw text of the instance
X.trn.npz, X.tst.npz: instance's embedding matrix (either sparse TF-IDF or fine-tuned dense embedding)
Y.trn.npz, Y.tst.npz: instance-to-label assignment matrix
Change directory into ./pretrained_models folder, download and unzip models for each dataset. Each folder has the following strcture.
proc_data: a sub-folder containing: X.{trn|tst}.{model}.128.pkl, C.{label-emb}.npz, L.{label-emb}.npz
pifa-tfidf-s0: a sub-folder containing indexer and matcher
pifa-neural-s0: a sub-folder containing indexer and matcher
text-emb-s0: a sub-folder containing indexer and matcher

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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