![]() Over 800,000 meme captions taken from Imgflip were fine-tuned. A pre-trained GPT-2 language model from the Huggingface transformers library was used as the primary engine for generating meme captions to improve upon earlier efforts. This began as a final project for Johns Hopkins University's Machine Learning: Deep Learning program in the autumn semester of 2020. Users can customize the font size, color, and width.Additional text boxes can be added with just a click. ![]() Because the training data was not filtered for profanity, you risk seeing offensive language. The Imgflip Meme Generator's top 48 most popular Meme Templates were used to train the network's neural nets using public photos. A prefix made out of a person's name or other brief text works well. Character-level prediction means that you may impact the resulting text by defining the prefix text of one or more characters. Text creation has no hardcoded parameters other than a cap on the maximum text length for sanity reasons. You can initially post your creation there and check others to get more ideas.Ī deep artificial neural network generates these captions. There is a big community with all the users.There are also many customization options to make use of, as well as the fact that it is free. This platform is a no-brainer with the most straightforward user interface and many easy-to-use meme-making devices. The GitHub meme-generator will guide you through creating the funniest meme possible. When it came out, it had one of the top meme makers. GitHub meme-generator should be known to you.
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