# dbernsohn /t5_numbers_gcd

This is a t5-small fine-tuned version on the math_dataset/numbers_gcd for solving greatest common divisor mission.

To load the model: (necessary packages: !pip install transformers sentencepiece)

from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("dbernsohn/t5_numbers_gcd")


You can then use this model to solve algebra 1d equations into numbers.

query = "What is the highest common factor of 4210884 and 72?"
input_text = f"{query} </s>"
features = tokenizer([input_text], return_tensors='pt')
model.to('cuda')
output = model.generate(input_ids=features['input_ids'].cuda(),

tokenizer.decode(output[0])


Another examples:

• Calculate the greatest common factor of 3470 and 97090.

• Calculate the highest common factor of 3480 and 775431.

• What is the highest common divisor of 26 and 88049?

• Calculate the highest common factor of 1416 and 24203688.

• Calculate the highest common divisor of 124 and 69445828.

• What is the greatest common factor of 657906 and 470?

• What is the highest common factor of 4210884 and 72?