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Update README.md (#7498)

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Making transformers readme more robust.
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Akshay Gupta
2020-10-01 17:12:07 +05:30
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@@ -111,7 +111,7 @@ The model itself is a regular [Pytorch `nn.Module`](https://pytorch.org/docs/sta
1. Easy-to-use state-of-the-art models: 1. Easy-to-use state-of-the-art models:
- High performance on NLU and NLG tasks. - High performance on NLU and NLG tasks.
- Low barrier to entry for educators and practitioners. - Low barrier to entry for educators and practitioners.
- Few user-facing abastractions with just three classes to learn. - Few user-facing abstractions with just three classes to learn.
- A unified API for using all our pretrained models. - A unified API for using all our pretrained models.
1. Lower compute costs, smaller carbon footprint: 1. Lower compute costs, smaller carbon footprint: