# Safetensors format issue
**URL:**
**Author:**  [@someoneyouknow](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fsomeoneyouknow)%5C
**Post date:** [November 24, 2023, 9:21pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fsafetensors-format-issue%2F63449%2F1 "2023-11-24T21:21:57Z")
I have a training script and an inference script that I have been using since a long time without any issues. But this time the model got saved in .safetensors format. I tried upgrading the transformers package and received the following error while loading the model.
Code I am using:
```auto
model_ckpt = 'path//to/finetuned/model'
extractor = AutoFeatureExtractor.from_pretrained(model_ckpt)
model = AutoModel.from_pretrained(model_ckpt)
hidden_dim = model.config.hidden_size
```
Here’s a stack trace I receive I when I try to load my fine tuned, model using automodel\_pretrained:
```---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[54], line 7
5 model_ckpt = '/Users/aayush/PycharmProjects/cortex-swin/model'
6 extractor = AutoFeatureExtractor.from_pretrained(model_ckpt)
----> 7 model = AutoModel.from_pretrained(model_ckpt)
8 hidden_dim = model.config.hidden_size
File ~/miniconda3/envs/cortex-swin/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:463, in _BaseAutoModelClass.from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
461 elif type(config) in cls._model_mapping.keys():
462 model_class = _get_model_class(config, cls._model_mapping)
--> 463 return model_class.from_pretrained(
464 pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs,** kwargs
465 )
466 raise ValueError(
467 f"Unrecognized configuration class {config. __class__ } for this kind of AutoModel: {cls. __name__ }.\n"
468 f"Model type should be one of {', '.join(c. __name__ for c in cls._model_mapping.keys())}."
469 )
File ~/miniconda3/envs/cortex-swin/lib/python3.10/site-packages/transformers/modeling_utils.py:2184, in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
2182 # Save the model
2183 for shard_file, shard in shards.items():
-> 2184 if safe_serialization:
2185 # At some point we will need to deal better with save_function (used for TPU and other distributed
2186 # joyfulness), but for now this enough.
2187 safe_save_file(shard, os.path.join(save_directory, shard_file), metadata={"format": "pt"})
2188 else:
File ~/miniconda3/envs/cortex-swin/lib/python3.10/site-packages/transformers/modeling_utils.py:386, in load_state_dict(checkpoint_file)
377 def load_sharded_checkpoint(model, folder, strict=True, prefer_safe=True):
378 """
379 This is the same as
380 [`torch.nn.Module.load_state_dict`](https://pytorch.org/docs/stable/generated/torch.nn.Module.html?highlight=load_state_dict#torch.nn.Module.load_state_dict)
381 but for a sharded checkpoint.
382
383 This load is performed efficiently: each checkpoint shard is loaded one by one in RAM and deleted after being
384 loaded in the model.
385
--> 386 Args:
387 model (`torch.nn.Module`): The model in which to load the checkpoint.
388 folder (`str` or `os.PathLike`): A path to a folder containing the sharded checkpoint.
389 strict (`bool`, *optional`, defaults to `True`):
390 Whether to strictly enforce that the keys in the model state dict match the keys in the sharded checkpoint.
391 prefer_safe (`bool`, *optional*, defaults to `False`)
392 If both safetensors and PyTorch save files are present in checkpoint and `prefer_safe` is True, the
393 safetensors files will be loaded. Otherwise, PyTorch files are always loaded when possible.
394
395 Returns:
396 `NamedTuple`: A named tuple with `missing_keys` and `unexpected_keys` fields
397 - `missing_keys` is a list of str containing the missing keys
398 - `unexpected_keys` is a list of str containing the unexpected keys
399 """
400 # Load the index
401 index_file = os.path.join(folder, WEIGHTS_INDEX_NAME)
NameError: name 'safe_open' is not defined
```
---
**Author:**  [@someoneyouknow](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fsomeoneyouknow)%5C
**Post date:** [November 26, 2023, 6:51pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fsafetensors-format-issue%2F63449%2F2 "2023-11-26T18:51:23Z")
this was a version issue, upgrading to the latest tranformers package version solved the issue.
---
**Author:**  [@julien-c](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fjulien-c)%5C
**Post date:** [November 27, 2023, 9:11am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fsafetensors-format-issue%2F63449%2F3 "2023-11-27T09:11:29Z")
cool, glad it solved your issue