How to load Pytorch model using the provided bin,config files

Hi all,
Im new to Pytorch.
I’m trying to load someone’s saved Pytorch model.
The downloaded folder has the below contents:
config.json
pytorch_model.bin
special_tokens_map.json
tokenizer_config.json
training_args.bin
vocab.txt

I understand that a model can be loaded as such (from PyTorch documentation):

model = TheModelClass(*args, **kwargs)
model.load_state_dict(torch.load(PATH))
model.eval()

but how can I make use of the files in the output directory to do this?

I have tried
model = torch.load(‘pytorch_model.bin’)
This doesnt load the model but a dictionary thus, the eval(), predict() does not work.
model.eval()
Traceback (most recent call last):
File “”, line 1, in
AttributeError: ‘collections.OrderedDict’ object has no attribute ‘eval’

Hi,
I was able to find the solution for above.
https://huggingface.co/transformers/v1.2.0/serialization.html#serialization-best-practices