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linux下直接复制命令过去，&会识别为后台运行，然后&之后的命令就会直接执行报错，建议换行

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Chuan Zhubin 2024-10-09 22:30:04 +08:00
parent ab4aa6dfbb
commit 3762f7e54d
2 changed files with 8 additions and 4 deletions
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6
README.md
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@ -103,7 +103,8 @@ CPU: Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz
* 0.克隆项目 * 0.克隆项目
```bash ```bash
git clone https://github.com/jingyaogong/minimind-v & cd minimind-v git clone https://github.com/jingyaogong/minimind-v
cd minimind-v
``` ```
* 1.环境安装 * 1.环境安装
@ -128,7 +129,8 @@ CPU: Intel(R) Core(TM) i9-10980XE CPU @ 3.00GHz
* 3.下载预训练的`clip-vit-base-patch32` 模型，在 `model/clip_model` 目录下： * 3.下载预训练的`clip-vit-base-patch32` 模型，在 `model/clip_model` 目录下：
```bash ```bash
cd model/clip_model & git clone https://hf-mirror.com/openai/clip-vit-base-patch32 cd model/clip_model
git clone https://hf-mirror.com/openai/clip-vit-base-patch32
``` ```
* 4.启动聊天网页测试对话 * 4.启动聊天网页测试对话

6
README_en.md
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@ -106,7 +106,8 @@ Environment: python 3.9 + Torch 2.1.2 + DDP single-machine multi-GPU training
* 0. Clone the project * 0. Clone the project
```bash ```bash
git clone https://github.com/jingyaogong/minimind-v & cd minimind-v git clone https://github.com/jingyaogong/minimind-v
cd minimind-v
``` ```
* 1. Install the environment * 1. Install the environment
@ -130,7 +131,8 @@ Environment: python 3.9 + Torch 2.1.2 + DDP single-machine multi-GPU training
* 3. Download the pre-trained `clip-vit-base-patch32` model to the `model/clip_model` directory: * 3. Download the pre-trained `clip-vit-base-patch32` model to the `model/clip_model` directory:
```bash ```bash
cd model/clip_model & git clone https://hf-mirror.com/openai/clip-vit-base-patch32 cd model/clip_model
git clone https://hf-mirror.com/openai/clip-vit-base-patch32
``` ```
* 4. Start the chat web server for testing conversations * 4. Start the chat web server for testing conversations