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change order pytorch/tf in readme (#4167)
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</p>
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<h3 align="center">
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<p>State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
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<p>State-of-the-art Natural Language Processing for PyTorch and TensorFlow 2.0
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</h3>
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🤗 Transformers (formerly known as `pytorch-transformers` and `pytorch-pretrained-bert`) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, T5, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over thousands of pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
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🤗 Transformers (formerly known as `pytorch-transformers` and `pytorch-pretrained-bert`) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, T5, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over thousands of pretrained models in 100+ languages and deep interoperability between PyTorch & TensorFlow 2.0.
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[](https://sourcerer.io/fame/clmnt/huggingface/transformers/links/0)[](https://sourcerer.io/fame/clmnt/huggingface/transformers/links/1)[](https://sourcerer.io/fame/clmnt/huggingface/transformers/links/2)[](https://sourcerer.io/fame/clmnt/huggingface/transformers/links/3)[](https://sourcerer.io/fame/clmnt/huggingface/transformers/links/4)[](https://sourcerer.io/fame/clmnt/huggingface/transformers/links/5)[](https://sourcerer.io/fame/clmnt/huggingface/transformers/links/6)[](https://sourcerer.io/fame/clmnt/huggingface/transformers/links/7)
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