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Bookmark or Share- OpenAI GPT2 - Hugging FaceGPT-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.
- openai-community/gpt2 · Hugging FaceThis is the smallest version of GPT-2, with 124M parameters. Related Models: GPT-Large, GPT-Medium and GPT-XL. Intended uses & limitations You can use the raw model for text generation or fine-tune it to a downstream task. See the model hub to look for fine-tuned versions on a task that interests you. How to use
- Better language models and their implications - OpenAIGPT-2 is a large transformer -based language model with 1.5 billion parameters, trained on a dataset [^footnote-dataset] 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.
- GitHub - openai/gpt-2: Code for the paper "Language Models ...gpt-2. Code and models from the paper "Language Models are Unsupervised Multitask Learners". You can read about GPT-2 and its staged release in our original blog post, 6 month follow-up post, and final post. We have also released a dataset for researchers to study their behaviors.
- GPT-2 - WikipediaGenerative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019.
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