Jimin9401/avocado
AVocaDo : Strategy for Adapting Vocabulary to Downstream Domain
This project helps developers improve the performance of natural language processing (NLP) models by tailoring the vocabulary to specific datasets. It takes your existing text data and generates a specialized vocabulary, which then boosts the accuracy of downstream NLP tasks like text classification. Data scientists and machine learning engineers working with diverse textual data would find this useful.
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Use this if you are a developer looking to fine-tune pre-trained language models for better performance on domain-specific text datasets without needing external linguistic resources.
Not ideal if you are a non-technical user seeking a ready-to-use application for text analysis or if you don't have experience with machine learning frameworks like PyTorch.
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Language
Python
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Last pushed
May 31, 2022
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