stanford-oval/genienlp
GenieNLP: A versatile codebase for any NLP task
This tool helps researchers and developers working with natural language by providing a unified way to train and use various NLP models. It takes textual data inputs and produces outputs such as translations, paraphrases, or classifications like sentiment and named entities. Anyone building applications that need to understand, generate, or transform human language would use this.
No commits in the last 6 months. Available on PyPI.
Use this if you need to build, train, or deploy advanced natural language processing models for tasks like semantic parsing, translation, or entity recognition, and require extensive customization and control over the model pipeline.
Not ideal if you are a non-technical user looking for a ready-to-use application or a simple API to perform basic NLP tasks without any coding or model training.
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90
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Language
Python
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Last pushed
Mar 16, 2024
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0
Dependencies
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