PaddlePaddle / PaddleNLP

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

Date Created 2021-02-05 (3 years ago)

Commits 5,431 (last one a day ago)

Stargazers 12,238 (19 this week)

Watchers 105 (0 this week)

Forks 2,961

License apache-2.0

Ranking

RepositoryStats indexes 595,890 repositories, of these PaddlePaddle/PaddleNLP is ranked #3,042 (99th percentile) for total stargazers, and #16,952 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #455/119,419.

PaddlePaddle/PaddleNLP is also tagged with popular topics, for these it's ranked: llm (#56/2911), nlp (#31/2430), transformers (#11/848), bert (#6/559), llama (#17/545), compression (#4/451), search-engine (#11/383), question-answering (#2/263), sentiment-analysis (#2/250), pretrained-models (#5/208), information-extraction (#1/128)

Other Information

PaddlePaddle/PaddleNLP has 293 open pull requests on Github, 4,765 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 391 open issues and 3,258 closed issues.

There have been 47 releases, the latest one was published on 2024-06-28 (5 months ago) with the name v3.0.0-beta0.

Homepage URL: https://paddlenlp.readthedocs.io

All Topics

llm nlp uie bert ernie llama embedding paddlenlp compression transformers neural-search search-engine pretrained-models semantic-analysis question-answering sentiment-analysis distributed-training document-intelligence information-extraction

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Github watchers over time, collection started in '23

Recent Commit History

3,940 commits on the default branch (develop) since jan '22

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Languages

The primary language is Python but there's also others...

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updated: 2024-12-21 @ 07:36am, id: 336274588 / R_kgDOFAsknA