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

Commencez par reproduire l’échec dans un Azure ML Notebook avec Python 3.6.9, transformers 4.4.2 et torch 1.8.0, en utilisant le chemin local du modèle gpt2-turkish-writer indiqué dans l’issue. Comparez le fichier pytorch_model.bin téléchargé et l’environnement avec Google Colab, puis déterminez si le chargement du modèle fonctionne de manière fiable ; la tâche est terminée lorsque le modèle se charge ou que l’incompatibilité et la prise en charge requise sont clairement documentées.

Rédigé par le modèle d'indexation à partir du texte de l'issue.