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# FastDeploy安装
目前已提供Linux、Windows上的Python Wheel安装包，开发者根据自身需求下载后使用如下命令安装即可，如
针对开发者的开发需求，FastDeploy目前提供了Python和C++两种安装方式，可分别参考
```
python -m pip install fastdeploy_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl
```
- [Python安装](../compile/prebuilt_wheels.md)
- [C++安装](../compile/prebuilt_libraries.md)
注意环境中不要重复安装`fastdeploy-python`和`fastdeploy-gpu-python`，在安装前，例如已安装cpu版本的`fastdeploy-python`后，如想重新安装gpu版本的`fastdeploy-gpu-python`，请先执行`pip uninstall fastdeploy-python`卸载已有版本
## Linux
## 其它文档
| CPU安装包 | Python环境 | 支持硬件 |
| ------------------------------------------------------------ | ---------- | -------- |
| [fastdeploy_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl) | 3.6 | CPU |
| [fastdeploy_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl) | 3.7 | CPU |
| [fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl) | 3.8 | CPU |
| [fastdeploy_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl) | 3.9 | CPU |
| GPU安装包 | Python环境 | 支持硬件 |
| ------------------------------------------------------------ | ---------- | -------- |
| [fastdeploy_gpu_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp36-cp36m-manylinux1_x86_64.whl) | 3.6 | CPU/GPU(CUDA11.2 CUDNN8) |
| [fastdeploy_gpu_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp37-cp37m-manylinux1_x86_64.whl) | 3.7 | CPU/GPU(CUDA11.2 CUDNN8) |
| [fastdeploy_gpu_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp38-cp38-manylinux1_x86_64.whl) | 3.8 | CPU/GPU(CUDA11.2 CUDNN8) |
| [fastdeploy_gpu_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl](https://bj.bcebos.com/paddlehub/fastdeploy/wheels/fastdeploy_gpu_python-0.2.0-cp39-cp39-manylinux1_x86_64.whl) | 3.9 | CPU/GPU(CUDA11.2 CUDNN8) |
- [视觉模型部署示例](../../examples/vision/) : 提供目标检测、图像分类、人脸检测等大量视觉模型在CPU/GPU以及TensorRT部署示例