920232796/bert_seq2seq
pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。
This project helps anyone who works with text data to automate various natural language processing tasks. You can input raw text or datasets to generate creative content like poems and couplets, summarize articles, classify text for sentiment or topic, or extract specific information like names or medical entities. It is designed for data scientists, NLP engineers, or researchers looking for a flexible tool to prototype and deploy different NLP models.
1,307 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need a versatile tool to experiment with or implement various NLP applications using state-of-the-art models without extensive coding.
Not ideal if you are looking for a pre-built, plug-and-play solution for a very specific, niche task that doesn't require model training or customization.
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1,307
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Language
Python
License
Apache-2.0
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Last pushed
Jun 18, 2022
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