manually download models
ERROR:pytorch_transformers.modeling_utils:Couldn't reach server at 'https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-config.json' to download pretrained model configuration file.
ERROR:pytorch_transformers.modeling_utils:Couldn't reach server at 'https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-pytorch_model.bin' to download pretrained weights.
ERROR:pytorch_transformers.tokenization_utils:Couldn't reach server to download vocabulary.

how can I point to these 2 files if I manually download these two to some path?
If you don't want/cannot to use the built-in download/caching method, you can download both files manually, save them in a directory and rename them respectively `config.json` and `pytorch_model.bin`

Then you can load the model using `model = BertModel.from_pretrained('path/to/your/directory')`<|||||>What if I try to run a GPT-2 example from docs Quickstart:
```
tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
...
model = GPT2LMHeadModel.from_pretrained('gpt2')
```
and get this
```
INFO:pytorch_transformers.file_utils:https://s3.amazonaws.com/models.huggingface.co/bert/gpt2-vocab.json not found in cache, downloading to C:\Users\KHOVRI~1\AppData\Local\Temp\tmprm150emm
ERROR:pytorch_transformers.tokenization_utils:Couldn't reach server to download vocabulary.
```

Where should I put vocab file and get other files for GPT-2? I work under corporate proxy, maybe there is a way to write this proxy into the sort of config?<|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
<|||||>> 错误：pytorch_transformers.modeling_utils：无法到达位于https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-config.json的服务器，无法下载经过预先​​训练的模型配置文件。
> 错误：pytorch_transformers.modeling_utils：无法到达位于“ https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-pytorch_model.bin ”的服务器以下载预先训练的权重。
> 错误：pytorch_transformers.tokenization_utils：无法访问服务器以下载词汇。
> 
> 如果手动将这两个文件下载到某个路径，如何指向这两个文件？
I also encountered such a problem, the network speed is very slow, can not get off.However, I ran several times, about 10 times, and finally successfully ran without any error
<|||||>Same question. Thank you.<|||||>> If you don't want/cannot to use the built-in download/caching method, you can download both files manually, save them in a directory and rename them respectively `config.json` and `pytorch_model.bin`
> 
> Then you can load the model using `model = BertModel.from_pretrained('path/to/your/directory')`

For posterity, those who get errors because of missing vocab.txt despite doing above, you can get it at `https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-vocab.txt` and also rename it to `vocab.txt` in desired folder. Resolved my errors.<|||||>Hi swayson,

model = BertModel.from_pretrained('path/to/your/directory')

where we need to add above line of code for loading model?<|||||>You can find all the models here [https://stackoverflow.com/a/64280935/251674](https://stackoverflow.com/a/64280935/251674)<|||||>> If you don't want/cannot to use the built-in download/caching method, you can download both files manually, save them in a directory and rename them respectively `config.json` and `pytorch_model.bin`
> 
> Then you can load the model using `model = BertModel.from_pretrained('path/to/your/directory')`

so great!<|||||>I tried downloading these models and then upload it in Jupyter lab to use in `Styleformer ` package. But the result seems to be broken. It works fine in Google Colab but fails when I try to manually upload and run. 

Models: https://huggingface.co/prithivida/informal_to_formal_styletransfer
               https://huggingface.co/prithivida/parrot_adequacy_on_BART<|||||>In my case, I want to load gpt2 pretrained model locally.
- First I download config.json and pytorch_model.bin from [hugginface model zoo](https://huggingface.co/gpt2/tree/main)
When I execute code below:
`gpt2_tok = GPT2Tokenizer.from_pretrained(myfolderpath, do_lower_case=False)`
Some error occurs like:
`TypeError: expected str bytes or os.pathlike object not nonetype`

- Later I follow the instruction @swayson  provides to download vocab.json.
Same error occurs again but it indicates that I may need some kind "merges" file:
`with open(merges_file, encoding="utf-8") as merges_handle
...
TypeError: expected str bytes or os.pathlike object not nonetype`

- So I go back to [hugginface model zoo](https://huggingface.co/gpt2/tree/main) and download merges.txt.
Finally the code is executed successfully and the encoding process also works.

Hope this helps someone who also suffers from the internet connection problem.