Update README.md

Author: DtYXs

README.md

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 # 新闻
+* 2023.5.9 Chinese-CLIP适配Pytorch2.0。
 * 2023.3.20 新增对比学习的[梯度累积](#gradient_accumulation)支持，可模拟更大batch size的训练效果
 * 2023.2.16 新增[FlashAttention](https://github.com/HazyResearch/flash-attention)支持，提升训练速度，降低显存占用，详见[flash_attention.md](flash_attention.md)
 * 2023.1.15 新增部署[ONNX](https://onnx.ai/)和[TensorRT](https://developer.nvidia.com/tensorrt)模型支持（并提供预训练TensorRT模型），提升特征推理速度，满足部署需求，详见[deployment.md](deployment.md)

README_En.md

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 # News
+* 2023.5.9 Chinese-CLIP has been adapted to Pytorch2.0.
 * 2023.3.20 Support [gradient accumulation](#gradient-accumulation) in contrastive learning to simulate the training effect of a larger batch size.
 * 2023.2.16 Support [FlashAttention](https://github.com/HazyResearch/flash-attention) to improve training speed and reduce memory usage. See [flash_attention_En.md](flash_attention_En.md) for more information.
 * 2023.1.15 Support the conversion of Pytorch models into [ONNX](https://onnx.ai/) or [TensorRT](https://developer.nvidia.com/tensorrt) formats (and provide pretrained TensorRT models) to improve inference speed and meet deployment requirements. See [deployment_En.md](deployment_En.md) for more information.