PPLM
Visit ToolPPLM is an open-source language model implementation that allows users to steer the topic and attributes of GPT-2 models. It enables controlled text generation without requiring model retraining or fine-tuning.
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PPLM is an open-source language model implementation that allows users to steer the topic and attributes of GPT-2 models. It enables controlled text generation without requiring model retraining or fine-tuning.
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About
PPLM (Plug and Play Language Model) is an open-source implementation designed to steer the topic and attributes of GPT-2 models. This tool allows users to flexibly integrate one or more small attribute models to guide the large, unconditional language model. A key advantage of PPLM is that it utilizes the language model as-is, meaning no training or fine-tuning is necessary. This feature is particularly beneficial for researchers and developers who may not have extensive hardware resources to train large language models. The project includes code for running PPLM, a demo, and a Colab notebook for easy setup and experimentation. It supports both bag-of-words and discriminator-based sentiment control for fine-grained text generation.
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Pricing & Plans
Open Source
Free
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