Alab-NII/Awesome-SciLM
Pre-trained Language Model for Scientific Text
This project offers a comprehensive list of pre-trained language models specifically designed for scientific text. It helps researchers, data scientists, and academics efficiently find and compare models suitable for analyzing scientific papers, medical records, or chemistry reports. You can input scientific articles or domain-specific texts and utilize these models for tasks like information extraction, text classification, or question answering relevant to scientific fields.
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Use this if you need to identify and select existing language models optimized for understanding and processing text within scientific domains like biomedical, chemical, or other specialized research areas.
Not ideal if you are looking for general-purpose language models or a tool to build a scientific language model from scratch without leveraging existing pre-trained resources.
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Feb 22, 2024
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