identical_check.py

from transformers import AutoModelForSeq2SeqLM
import torch

tag_1 = "prithivida/grammar_error_correcter"
tag_2 = "prithivida/grammar_error_correcter_v1"

correction_model_1 = AutoModelForSeq2SeqLM.from_pretrained(tag_1)
correction_model_2 = AutoModelForSeq2SeqLM.from_pretrained(tag_2)

params_1={}
for name, params in correction_model_1.named_parameters():
    params_1[name]=params

params_2={}
for name, params in correction_model_2.named_parameters():
    params_2[name]=params

param_is_identical = []
for name in params_1.keys():
    is_identical = torch.all(params_1[name]==params_2[name]).item()
    param_is_identical.append(is_identical)
    
print("models are identical? ", all(param_is_identical))