lonePatient/albert_pytorch
A Lite Bert For Self-Supervised Learning Language Representations
This project helps machine learning engineers and researchers fine-tune state-of-the-art language models for various natural language understanding tasks. It takes pre-trained ALBERT models and text datasets as input, and outputs specialized language models ready for tasks like sentiment analysis or textual entailment. This is for professionals building AI applications that need to understand and process human language.
714 stars. No commits in the last 6 months.
Use this if you need to adapt a powerful, pre-trained language model to understand specific nuances within your text data for tasks like classifying sentences or identifying semantic similarity.
Not ideal if you are not familiar with PyTorch or the process of fine-tuning large language models, or if you need to train a language model from scratch.
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714
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Language
Python
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Apache-2.0
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Last pushed
May 13, 2020
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