exception:enum PyPreTokenizerTypeWrapper, while loading the fine-tuned model for evaluation

Hi - currently we are fine-tuning the model: "paraphrase-multilingual-MiniLM-L12-v2" for our use case. In our pipeline, we have a model validation part where we are loading the trained model with:

model = SetFitModel.from_pretrained(model_dir)

but unfortunately, we are getting the below exception: -

Exception: data did not match any variant of untagged enum PyPreTokenizerTypeWrapper at line 83 column 3.

Note: I am using amazon Sagemaker platform for finetuning with below configuration:

for traning:
instance_type: "ml.g5.2xlarge"
instance_count: 1
transformers_version: "4.28.1"
pytorch_version: "2.0.0"
setfit_version: "0.7.0"
py_version: "py310"

for validation:
instance_type: "ml.t3.xlarge"
instance_count: 1

it was working fine with the above configuration but since last couple of days we are getting the above-mentioned exception. So, it would be great if anyone can help us out to fix the issue.

Do let me know if any other information is required from our side.