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Fix number of models in README.md (#28430)

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@ -228,7 +228,7 @@ The model itself is a regular [Pytorch `nn.Module`](https://pytorch.org/docs/sta
1. Lower compute costs, smaller carbon footprint:
- Researchers can share trained models instead of always retraining.
- Practitioners can reduce compute time and production costs.
- Dozens of architectures with over 60,000 pretrained models across all modalities.
- Dozens of architectures with over 400,000 pretrained models across all modalities.
1. Choose the right framework for every part of a model's lifetime:
- Train state-of-the-art models in 3 lines of code.