# Instantiating models will not terminate

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**Category:** Community Calls\
**Created:** [April 6, 2023, 8:58am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Finstantiating-models-will-not-terminate%2F35744 "2023-04-06T08:58:47Z")\
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**Author:** ![Majo98](https://avatars.discourse-cdn.com/v4/letter/m/45deac/32.png) [@Majo98](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FMajo98)%5C
**Post date:** [April 6, 2023, 8:58am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Finstantiating-models-will-not-terminate%2F35744%2F1 "2023-04-06T08:58:47Z")

</div>

I am at a bit of a loss right now:

No matter how I try to use any model from huggingface, the process won’t terminate. I have tried using the pipeline, I have tried retrieving models via the `from_pretrained(...)` method, I let the process run for a while, but nothing changed after twenty minutes. I really don’t know where the problem is, especially because there aren’t any console logs that might have helpful information and because I am not even using the model for anything (afaic).

The only thing I have is the console log when I interrupt the process manually:

```auto
KeyboardInterrupt Traceback (most recent call last)
Cell In[6], line 2
      1 from transformers import AutoTokenizer
----> 2 tokenizer = AutoTokenizer.from_pretrained("dbmdz/german-gpt2")

File c:\Users\User\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\models\auto\tokenization_auto.py:697, in AutoTokenizer.from_pretrained(cls, pretrained_model_name_or_path, *inputs, **kwargs)
    695 tokenizer_class_py, tokenizer_class_fast = TOKENIZER_MAPPING[type(config)]
    696 if tokenizer_class_fast and (use_fast or tokenizer_class_py is None):
--> 697 return tokenizer_class_fast.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
    698 else:
    699 if tokenizer_class_py is not None:

File c:\Users\User\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\tokenization_utils_base.py:1763, in PreTrainedTokenizerBase.from_pretrained(cls, pretrained_model_name_or_path, *init_inputs, **kwargs)
   1761 resolved_vocab_files[file_id] = download_url(file_path, proxies=proxies)
   1762 else:
-> 1763 resolved_vocab_files[file_id] = cached_file(
   1764 pretrained_model_name_or_path,
   1765 file_path,
   1766 cache_dir=cache_dir,
   1767 force_download=force_download,
   1768 proxies=proxies,
   1769 resume_download=resume_download,
   1770 local_files_only=local_files_only,
   1771 use_auth_token=use_auth_token,
...
--> 187 time.sleep(poll_interval)
    188 except BaseException: # Something did go wrong, so decrement the counter.
    189 with self._thread_lock:

KeyboardInterrupt: 

```

I found out that the last line of code come from the Python filelock package, maybe this will help determining where the source of the problem is. Thanks in advance!