couldn‘t connect to ‘https://huggingface.co‘ to load this file

huggingface网络连接问题：

OSError: We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like BAAI/bge-large-en-v1.5 is not the path to a directory containing a file named config.json. Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.

例如：BAAI/bge-large-en-v1.5

model_name = "BAAI/bge-large-en-v1.5"
model_kwargs = {"device": "cpu"}
encode_kwargs = {"normalize_embeddings": True}

embedding_model = HuggingFaceBgeEmbeddings(
    model_name=model_name, model_kwargs=model_kwargs, encode_kwargs=encode_kwargs
)

---

---

问题描述

OSError: We couldn‘t connect to ‘https://huggingface.co‘ to load this file, couldn‘t find it(亲测有效)

解决方案：

提示：https://hf-mirror.com/
点进去这个镜像网站，里面有四种解决办法

方案一：
去hugging face 上手动下载

方案二：

1. 安装依赖
   pip install -U huggingface_hub

2. 设置环境变量
   Linux
   export HF_ENDPOINT=https://hf-mirror.com
   Windows Powershell
   $env:HF_ENDPOINT = "https://hf-mirror.com"
   建议将上面这一行写入 ~/.bashrc。
   3.1 下载模型
   huggingface-cli download --resume-download gpt2 --local-dir gpt2
   3.2 下载数据集
   huggingface-cli download --repo-type dataset --resume-download wikitext --local-dir wikitext
   可以添加 --local-dir-use-symlinks False 参数禁用文件软链接，这样下载路径下所见即所得，详细解释请见上面提到的教程。

方案三：

1. 下载hfd
   wget https://hf-mirror.com/hfd/hfd.sh chmod a+x hfd.sh

2. 设置环境变量
   Linux
   export HF_ENDPOINT=https://hf-mirror.com
   Windows Powershell
   $env:HF_ENDPOINT = "https://hf-mirror.com"

3. 下载模型
   ./hfd.sh gpt2

4. 下载数据集
   ./hfd.sh wikitext --dataset