lvyufeng/mindspore-nlp-tutorial
Natural Language Processing Tutorial for MindSpore Users
This project provides a comprehensive guide for developers learning how to build natural language processing (NLP) models using the MindSpore framework. It offers practical examples covering various NLP tasks, from predicting the next word to sentiment classification and machine translation. Users will input text data and model configurations, and receive trained NLP models capable of understanding and generating human language.
141 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist looking to implement and understand core NLP models using the MindSpore deep learning framework.
Not ideal if you are looking for a pre-built, ready-to-use NLP solution without needing to understand the underlying model architecture or implementation details.
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141
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27
Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 16, 2024
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