WGLab/Bioformer
Bioformer: an efficient BERT model for biomedical text mining
This project helps biomedical researchers and data scientists extract meaningful information from large volumes of scientific literature. It takes medical abstracts and full-text articles as input, and outputs text embeddings optimized for understanding biomedical concepts. This is ideal for anyone working with biomedical text who needs efficient and accurate natural language processing.
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Use this if you need to analyze large datasets of biomedical text quickly and accurately, and are looking for a more memory-efficient alternative to existing models.
Not ideal if your primary focus is on general domain text analysis or if you prefer models not based on the BERT architecture.
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Feb 07, 2023
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