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This web app, built by the Hugging Face team, is the official demo of the 🤗/transformers repository's text generation capabilities.
GPT-2 is a transformers model pretrained on a very large corpus of English data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labelling them in any way (which is why it can use lots of publicly available data) with an automatic process to generate inputs and labels from those texts.
GPT-2 is a large transformer-based language model with 1.5 billion parameters, trained on a dataset[1] of 8 million web pages. GPT-2 is trained with a simple objective: predict the next word, given all of the previous words within some text.
2 Φεβ 2021 · According to the authors, the GPT-2 algorithm was trained on the task of language modeling --- which tests a program's ability to predict the next word in a given sentence--by ingesting huge...
Access to GPT-4, GPT-4o, GPT-4o mini. Up to 5x more messages for GPT-4o. Access to data analysis, file uploads, vision, and web browsing. Access to Advanced Voice Mode. DALL·E image generation. Create and use custom GPTs. Early access to new features
The GPT-2 language model generates natural language based on a seed phrase. In this demo, you generate natural text in the style of Shakespeare, US Politicians, Popular Scientists, or Song Lyrics. Select your style, input your seed phrase, and see what the AI comes up with!
5 Νοε 2019 · As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B parameters) of GPT-2 along with code and model weights to facilitate detection of outputs of GPT-2 models.
