报错解决MaxRetryError(“HTTPSConnectionPool(host=‘huggingface.co‘, port=443):xxx“)

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'(MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /bert-base-uncased/resolve/main/vocab.txt (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f1320354880>, 'Connection to huggingface.co timed out. (connect timeout=10)'))"), '(Request ID: 625af900-631f-4614-9358-30364ecacefe)')' thrown while requesting HEAD https://huggingface.co/bert-base-uncased/resolve/main/vocab.txt
'(MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /bert-base-uncased/resolve/main/added_tokens.json (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f1320354d60>, 'Connection to huggingface.co timed out. (connect timeout=10)'))"), '(Request ID: 1679a995-7441-4afe-a685-9a7bd6da9f2a)')' thrown while requesting HEAD https://huggingface.co/bert-base-uncased/resolve/main/added_tokens.json
'(MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /bert-base-uncased/resolve/main/special_tokens_map.json (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f13202fb250>, 'Connection to huggingface.co timed out. (connect timeout=10)'))"), '(Request ID: 9af5b73e-5230-45d7-8886-5d37d38f09a8)')' thrown while requesting HEAD https://huggingface.co/bert-base-uncased/resolve/main/special_tokens_map.json
'(MaxRetryError("HTTPSConnectionPool(host='huggingface.co', port=443): Max retries exceeded with url: /bert-base-uncased/resolve/main/tokenizer_config.json (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f13202fb730>, 'Connection to huggingface.co timed out. (connect timeout=10)'))"), '(Request ID: 12136040-d033-4099-821c-dcb80fb50018)')' thrown while requesting HEAD https://huggingface.co/bert-base-uncased/resolve/main/tokenizer_config.json
Traceback (most recent call last):
  File "/tmp/pycharm_project_494/Zilean-Classifier/main.py", line 48, in <module>
    tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
  File "/root/miniconda3/envs/DL/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 1838, in from_pretrained
    raise EnvironmentError(
OSError: Can't load tokenizer for 'bert-base-uncased'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'bert-base-uncased' is the correct path to a directory containing all relevant files for a BertTokenizer tokenizer.

首先造成这种错误的原因主要是因为你的服务器没有办法连接huggingface的原因，你可以直接在你的服务器上尝试能否直接ping

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ping huggingface.co

那我的机器就是没有数据传输过来，当然前提是你自己的服务器一定要有网络连接（可以尝试ping www.baidu.com来检测自己机器是否有网络）。

解决方法一
使用VPN，这个方法比较适用机器是你自己的，如果机器不是你的，你搭VPN比较麻烦，因为租的服务器会定时清理，在Linux搭建VPN也很简单，大家搜索一哈有很多方案
解决方案二【推荐】
第二种方式适用于租赁的机器的情况，就是直接将本地的下载好的预训练模型上传上去，如果你已经在你的本地简单跑过代码了，没有就去官网下载，首先我们确定我们本地文件所处的路径

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~/.cache/huggingface/hub/models--bert-base-uncased

将这个下面的文件直接上传到服务器的指定路径中，我的路径为：

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~/.cache/huggingface/hub/models--bert-base-uncased

就可以运行你的代码了，但是这里运行的时候有个小问题，就是你运行时候仍然会报错说无法下载这些文件，请耐心等待，你的代码会正常运行