Unable to load Hugging face transformers pytorch model on ML Notebook

I tried to test out MachineLearning Notebooks with my Google Colab run.
Created gpu compute (or cpu small) and download files locally from git
Using same hugging face transformers version as I use on colab, cannot load model on Azure ML Notebook.

Any chance to support Hugging Face transformers models in ML Notebooks or am I missing a point?

Torch is by default 1.6 so I upgrade that one too

**Azure Notebook: Python 3.6.9 :: Anaconda, Inc. **
```
import transformers
transformers.__version__
'4.4.2'
```

```
import torch
torch.__version__
##GPU T80 instance, also tried CPU instance too
'1.8.0'
```
```

#!sudo apt-get install git-lfs
!git clone https://huggingface.co/gorkemgoknar/gpt2-turkish-writer

#tokenizer loading is fine
from transformers import GPT2Tokenizer, AutoModelForCausalLM
import torch
tokenizer = GPT2Tokenizer.from_pretrained("content/chatbot/model_tr_writer/gpt2-turkish-writer",local_files_only=True)

model = AutoModelForCausalLM.from_pretrained("content/chatbot/model_tr_writer/gpt2-turkish-writer",local_files_only=True)

---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
/anaconda/envs/azureml_py36/lib/python3.6/site-packages/transformers/modeling_utils.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
1061 try:
-> 1062 state_dict = torch.load(resolved_archive_file, map_location="cpu")
1063 except Exception:

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/torch/serialization.py in load(f, map_location, pickle_module, **pickle_load_args)
584 orig_position = opened_file.tell()
--> 585 with _open_zipfile_reader(opened_file) as opened_zipfile:
586 if _is_torchscript_zip(opened_zipfile):

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/torch/serialization.py in __init__(self, name_or_buffer)
241 def __init__(self, name_or_buffer) -> None:
--> 242 super(_open_zipfile_reader, self).__init__(torch._C.PyTorchFileReader(name_or_buffer))
243

RuntimeError: [enforce fail at inline_container.cc:145] . PytorchStreamReader failed reading zip archive: failed finding central directory

During handling of the above exception, another exception occurred:

OSError Traceback (most recent call last)
in
----> 1 model = AutoModelForCausalLM.from_pretrained("content/chatbot/model_tr_writer/gpt2-turkish-writer",local_files_only=True)
2
3
4 # Get sequence length max of 1024
5 tokenizer.model_max_length=1024

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/transformers/models/auto/modeling_auto.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
1111 if type(config) in MODEL_FOR_CAUSAL_LM_MAPPING.keys():
1112 return MODEL_FOR_CAUSAL_LM_MAPPING[type(config)].from_pretrained(
-> 1113 pretrained_model_name_or_path, *model_args, config=config, **kwargs
1114 )
1115 raise ValueError(

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/transformers/modeling_utils.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
1063 except Exception:
1064 raise OSError(
-> 1065 f"Unable to load weights from pytorch checkpoint file for '{pretrained_model_name_or_path}' "
1066 f"at '{resolved_archive_file}'"
1067 "If you tried to load a PyTorch model from a TF 2.0 checkpoint, please set from_tf=True. "

OSError: Unable to load weights from pytorch checkpoint file for 'content/chatbot/model_tr_writer/gpt2-turkish-writer' at 'content/chatbot/model_tr_writer/gpt2-turkish-writer/pytorch_model.bin'If you tried to load a PyTorch model from a TF 2.0 checkpoint, please set from_tf=True.

```

**Google Colab - Python 3.7.10**
```
import torch
torch.__version__
"1.8.0+cu101"
```
```

import transformers
transformers.__version__
"4.4.2"

import torch
torch.__version__
"1.8.0+cu101"
```

Only differences seem torch version (yet I can run it on CPU on my Macos) and Python version 3.6.9 vs 3.7.10

Bắt đầu bằng cách tái hiện lỗi trong một Azure ML Notebook với Python 3.6.9, transformers 4.4.2 và torch 1.8.0, sử dụng đường dẫn cục bộ của mô hình gpt2-turkish-writer được nêu trong issue. So sánh pytorch_model.bin đã tải xuống và môi trường với Google Colab, sau đó xác định xem việc tải mô hình có hoạt động ổn định hay không; hoàn tất khi mô hình được tải thành công hoặc khi tính không tương thích và hỗ trợ cần thiết được ghi lại rõ ràng.

Do mô hình lập chỉ mục viết ra từ nội dung của issue.