完整的錯誤信息

'(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.

首先造成這種錯誤的原因主要是因?yàn)槟愕姆?wù)器沒有辦法連接huggingface的原因，你可以直接在你的服務(wù)器上嘗試能否直接ping

ping huggingface.co

那我的機(jī)器就是沒有數(shù)據(jù)傳輸過來，當(dāng)然前提是你自己的服務(wù)器一定要有網(wǎng)絡(luò)連接（可以嘗試ping www.baidu.com來檢測自己機(jī)器是否有網(wǎng)絡(luò)）。

解決方案1

使用VPN，這個方法比較適用機(jī)器是你自己的，如果機(jī)器不是你的，你搭VPN比較麻煩，因?yàn)樽獾姆?wù)器會定時清理，在Linux搭建VPN也很簡單，大家搜索一哈有很多方案

解決方案2【推薦】

第二種方式適用于租賃的機(jī)器的情況，就是直接將本地的下載好（你的本地也需要能訪問外網(wǎng)）的預(yù)訓(xùn)練模型上傳上去，如果你已經(jīng)在你的本地簡單跑過代碼了，沒有就去官網(wǎng)下載，首先我們確定我們本地文件所處的路徑【windows下應(yīng)該在你的用戶文件下面又有個.cache，注意打開隱藏文件夾】：

• 將指定的模型下載到本地【本地機(jī)器需要科學(xué)上網(wǎng)】

  from transformers import BertModel, BertTokenizer
  
  # 使用bert-large-uncased
  model = BertModel.from_pretrained('bert-large-uncased')
  tokenizer = BertTokenizer.from_pretrained('bert-large-uncased')
  

  此時你的機(jī)器上會出現(xiàn)如下圖片：
  

• 找到本地下載好的模型文件

  • 如果你是windows用戶，你的用戶User文件下面又有個.cache/huggingface/hub/，注意打開隱藏文件；
  • 如果你是macos用戶在下面地址中

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

• 上傳文件到服務(wù)器上
  將本地文件上傳到服務(wù)器的下面地址中

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

  就可以運(yùn)行你的代碼了，但是這里運(yùn)行的時候有個小問題，就是你運(yùn)行時候仍然會報錯說無法下載這些文件，請耐心等待，你的代碼會正常運(yùn)行
  

  如果你不想出現(xiàn)之前上面還顯示出錯的問題，那么修改之前的加載方法，之前的加載方法為：

  config = BertConfig.from_pretrained(model_name) 
  

  修改為

  # 指定本地bert模型路徑
  bert_model_dir = "/path/to/bert/model" 
  
  config = transformers.BertConfig.from_pretrained(bert_model_dir)
  

  即可文章來源地址http://www.zghlxwxcb.cn/news/detail-716341.html

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