maum-ai/pnlp-mixer
Unofficial PyTorch Implementation for pNLP-Mixer: an Efficient all-MLP Architecture for Language (https://arxiv.org/abs/2202.04350)
This project offers an alternative way to build language models for tasks like intent recognition or sentiment analysis. It takes in text data and, through a unique architecture, produces highly accurate predictions without needing the extensive computational power and pre-training typically required by other models. Data scientists and machine learning engineers working on natural language processing tasks would find this useful.
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Use this if you need to develop performant natural language understanding models but are constrained by computational resources or wish to avoid lengthy pre-training.
Not ideal if you primarily work with existing transformer-based models and are not looking to experiment with novel, more efficient architectures.
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Language
Python
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BSD-3-Clause
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Last pushed
Mar 07, 2022
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