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This 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
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.
GPT-2 Output Detector Demo. This is an online demo of the GPT-2 output detector model, based on the 🤗/Transformers implementation of RoBERTa. Enter some text in the text box; the predicted probabilities will be displayed below. The results start to get reliable after around 50 tokens.
This web app, built by the Hugging Face team, is the official demo of the 🤗/transformers repository's text generation capabilities. The almighty king of text generation, GPT-2 comes in four available sizes, only three of which have been publicly made available.
2 Φεβ 2021 · Before starting, set Runtime Type to GPU on the top menu bar. 1. Installation. Clone the repo, install dependencies, and download the model weights. You can choose between the small 117M, medium...
Model Description: GPT-2 Medium is the 355M parameter version of GPT-2, a transformer-based language model created and released by OpenAI. The model is a pretrained model on English language using a causal language modeling (CLM) objective. Developed by: OpenAI, see associated research paper and GitHub repo for model developers.
This repository is meant to be a starting point for researchers and engineers to experiment with GPT-2. For basic information, see our model card.
