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Merge pull request #2203 from gthb/patch-1

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fix: wrong architecture count in README
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Thomas Wolf 2019-12-21 14:31:44 +01:00 committed by GitHub
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@ -133,7 +133,7 @@ At some point in the future, you'll be able to seamlessly move from pre-training
## Model architectures
🤗 Transformers currently provides 10 NLU/NLG architectures:
🤗 Transformers currently provides the following NLU/NLG architectures:
1. **[BERT](https://github.com/google-research/bert)** (from Google) released with the paper [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/abs/1810.04805) by Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova.
2. **[GPT](https://github.com/openai/finetune-transformer-lm)** (from OpenAI) released with the paper [Improving Language Understanding by Generative Pre-Training](https://blog.openai.com/language-unsupervised/) by Alec Radford, Karthik Narasimhan, Tim Salimans and Ilya Sutskever.