Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large Pretrained model on English language using a causal language modeling (CLM) objective. It was introduced in and first released at this page. model. Content from this model card has been written by the Hugging Face team to complete the information they provided and give specific examples of bias. 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…
Open weights
mit
137M parameters
transformers
GPT-2 Large is the 774M 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. - Test the full generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large Use the code below to get started with the model. You can use this model directly with a pipeline for text generation. Since the generation relies on some randomness, we Here is how to use this model to get the features of a given text in PyTorch: In their model card about GPT-2, OpenAI wrote: In their model card about GPT-2, OpenAI wrote: In their model card about GPT-2, OpenAI…
Open weights
mit
812M parameters
transformers
