Nov 5, 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. While there have been larger language models released since August, we’ve continued with our original staged release plan in order to provide the community with a …

To get proper results, you should use openai-community/gpt2 instead of openai-community/gpt2. If you get out-of-memory when loading that checkpoint, you can try adding device_map="auto" in the from_pretrained call.

GPT-2 models' robustness and worst case behaviors are not well-understood. As with any machine-learned model, carefully evaluate GPT-2 for your use case, especially if used without fine-tuning or in safety-critical applications where reliability is important.

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 this paper and first released at this page. Disclaimer: The team releasing GPT-2 also wrote a model card for their model. Content from this ...

from transformers import pipeline generator = pipeline("text-generation", model="./my_gpt2", tokenizer="./my_gpt2") print(generator("今天天气真好，")) 以上是训练和部署 GPT-2 类似模型的完整流程。

gpt2 开源了权重和推理代码，但是没有训练代码和训练细节；gpt3 论文比较详细的说明了各种参数和细节，但是没有开源权重和代码。 所以下面按照 gpt3 的论文中的参数来设置 gpt2。

前言. Generative Pre-trained Transformer （GPT）系列是由 OpenAI 提出的非常强大的预训练语言模型，这一系列的模型可以在非常复杂的NLP任务中取得非常惊艳的效果，例如文章生成，代码生成，机器翻译，Q&A等，而完成这些任务并不需要有监督学习进行模型微调。 而对于一个新的任务，GPT仅仅需要非常少的 ...

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GPT-2 was first announced on 14 February 2019. A February 2019 article in The Verge by James Vincent said that, while "[the] writing it produces is usually easily identifiable as non-human", it remained "one of the most exciting examples yet" of language generation programs: [17]. Give it a fake headline, and it’ll write the rest of the article, complete with fake quotations and statistics.

Aug 12, 2019 · The GPT-2 wasn’t a particularly novel architecture – it’s architecture is very similar to the decoder-only transformer. The GPT2 was, however, a very large, transformer-based language model trained on a massive dataset. In this post, we’ll look at the architecture that enabled the model to produce its results.