[Docx] add language (en/cn) switch links (#4470)

* add install docs

* 修改文档

* 修改文档
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[简体中文](../../zh/get_started/installation/Enflame_gcu.md)
# Running ERNIE 4.5 Series Models with FastDeploy
The Enflame S60 ([Learn about Enflame](https://www.enflame-tech.com/)) is a next-generation AI inference accelerator card designed for large-scale deployment in data centers. It meets the demands of large language models (LLMs), search/advertising/recommendation systems, and traditional models. Characterized by broad model coverage, user-friendliness, and high portability, it is widely applicable to mainstream inference scenarios such as image and text generation applications, search and recommendation systems, and text/image/speech recognition.

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[简体中文](../../zh/get_started/installation/README.md)
# FastDeploy Installation
FastDeploy currently supports installation on the following hardware platforms:

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[简体中文](../../zh/get_started/installation/hygon_dcu.md)
# Run ERNIE-4.5-300B-A47B & ERNIE-4.5-21B-A3B model on hygon machine
The current version of the software merely serves as a demonstration demo for the hygon k100AI combined with the Fastdeploy inference framework for large models. There may be issues when running the latest ERNIE4.5 model, and we will conduct repairs and performance optimization in the future. Subsequent versions will provide customers with a more stable version.

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[简体中文](../../zh/get_started/installation/iluvatar_gpu.md)
# Run ERNIE-4.5-300B-A47B & ERNIE-4.5-21B-A3B model on iluvatar machine
## Machine Preparation

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[简体中文](../../zh/get_started/installation/intel_gaudi.md)
# Intel Gaudi Installation for running ERNIE 4.5 Series Models
The following installation methods are available when your environment meets these requirements:

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[简体中文](../../zh/get_started/installation/kunlunxin_xpu.md)
# Kunlunxin XPU
## Requirements

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[简体中文](../../zh/get_started/installation/metax_gpu.md)
# Metax GPU Installation for running ERNIE 4.5 Series Models
The following installation methods are available when your environment meets these requirements:

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[简体中文](../../zh/get_started/installation/nvidia_gpu.md)
# NVIDIA CUDA GPU Installation
The following installation methods are available when your environment meets these requirements: