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[feat] update model install method

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Mr_Dwj 2025-11-05 11:17:07 +08:00
parent 8a0b04ed82
commit d4f2339c1b
3 changed files with 53 additions and 2 deletions
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28
README.md
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@ -236,12 +236,37 @@ pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple
### 2.下载模型
到项目根目录
到项目根目录：
```bash
cd minimind
```
方法一：使用 Git + Git LFS（需要预装 [Git LFS](https://git-lfs.com/)）
```bash
git clone https://huggingface.co/jingyaogong/MiniMind2 # or https://www.modelscope.cn/models/gongjy/MiniMind2
```
方法二：使用 hf CLI
```bash
hf download jingyaogong/MiniMind2 --local-dir ./MiniMind2
```
方法三：使用 hf CLI + 更换下载源（大陆推荐）
```bash
export HF_ENDPOINT=https://hf-mirror.com
hf download jingyaogong/MiniMind2 --local-dir ./MiniMind2
```
方法四：使用 modelscope CLI（大陆推荐）
```bash
modelscope download --model gongjy/MiniMind2 --local_dir ./MiniMind2
```
### （可选）命令行问答
```bash
@ -1911,4 +1936,3 @@ If you find MiniMind helpful in your research or work, please cite:
This repository is licensed under the [Apache-2.0 License](LICENSE).

25
README_en.md
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@ -243,10 +243,35 @@ pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple
Go to the project root directory
```bash
cd minimind
```
Method 1: Using Git + Git LFS (Requires pre-installed [Git LFS](https://git-lfs.com/))
```bash
git clone https://huggingface.co/jingyaogong/MiniMind2 # or https://www.modelscope.cn/models/gongjy/MiniMind2
```
Method 2: Using hf CLI
```bash
hf download jingyaogong/MiniMind2 --local-dir ./MiniMind2
```
Method 3: Using hf CLI + Changing download source (Recommended in Mainland China)
```bash
export HF_ENDPOINT=https://hf-mirror.com
hf download jingyaogong/MiniMind2 --local-dir ./MiniMind2
```
Method 4: Using modelscope CLI (Recommended in Mainland China)
```bash
modelscope download --model gongjy/MiniMind2 --local_dir ./MiniMind2
```
### (Optional) Command Line Q&A
```bash

2
requirements.txt
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@ -2,10 +2,12 @@ datasets==3.6.0
datasketch==1.6.4
Flask==3.0.3
Flask_Cors==4.0.0
huggingface-hub==0.36.0
jieba==0.42.1
jsonlines==4.0.0
marshmallow==3.22.0
matplotlib==3.10.0
modelscope==1.31.0
ngrok==1.4.0
nltk==3.8
numpy==1.26.4