da03/Residual-EBM
Code for Residual Energy-Based Models for Text Generation in PyTorch.
This project helps machine learning researchers explore and implement an advanced method for generating text. It takes a dataset of text and trains a model to produce new, similar text. Researchers working on natural language generation will find this useful for understanding how Residual Energy-Based Models function.
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Use this if you are an AI/ML researcher interested in experimenting with Residual Energy-Based Models for text generation using a practical, resource-efficient example.
Not ideal if you need a production-ready text generation tool or are looking for a pre-trained model for immediate use in an application.
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Jupyter Notebook
License
MIT
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Last pushed
Apr 27, 2021
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