ImKeTT/AdaVAE
[Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation
This project offers a framework for language model developers to build and experiment with advanced text generation and classification models. It takes various text datasets (like Yelp reviews, Yahoo answers, or SNLI snippets) and outputs trained models capable of generating new text, classifying existing text, or controlling the style of generated text. It is designed for researchers and engineers focused on natural language processing.
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Use this if you are an NLP researcher or engineer looking to implement and experiment with state-of-the-art variational auto-encoders for language modeling, text classification, or controllable text generation.
Not ideal if you are an end-user seeking a ready-to-use application for everyday text generation or classification tasks without deep technical involvement.
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Python
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MIT
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Last pushed
Oct 18, 2023
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