Unable to Load the Pre-Trained Model using Spark-Submit 
Hi Team, 

I am trying to trigger spark-submit and passing the pre-trained model with --archives ; however Spark is not able to locate the model while executing the BertTokenizer.from_pretrained(BERT_MODEL_NAME).

Please advise how to I get the spark to point to the BERT Model ; I tried placing in HDFS as well as Local Linux path - but same error. 

`22/06/20 17:09:23 INFO e: Traceback (most recent call last):
  File "etl.py", line 509, in run
    self.ingest()
  File "etl.py", line 315, in ingest
    BERT_MODEL_NAME="score/bert-base-cased/",
  File "/data-12/hadoop/yarn/local/usercache/svc/appcache/application_1641/container_e397_000001/e_process-0.0.1-py3.7.egg/classification/pipelinescore.py", line 30, in __init__
    self.tokenizer = BertTokenizer.from_pretrained(BERT_MODEL_NAME,cache_dir="/cache")
  File "/data-12/hadoop/yarn/local/usercache/svc/appcache/application_1641/container_e397_00001/dep.tar.gz/transformers/tokenization_utils_base.py", line 1773, in from_pretrained
    f"Can't load tokenizer for '{pretrained_model_name_or_path}'. If you were trying to load it from "
OSError: Can't load tokenizer for 'classification/score/bert-base-cased/'. 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 'classification/score/bert-base-cased/' is the correct path to a directory containing all relevant files for a BertTokenizerFast tokenizer.
`
This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.