Torch.jit.trace for facebook/m2m100_418M

I am trying to get a PyTorch trace for the facebook/m2m100_418M. But I run into an error You have to specify either decoder_input_ids or decoder_inputs_embeds. I think the issue is that I do not give outputs, but I don’t know how to do that. Since it is multiple languages. There are several translations for ''Hello world" from one language to another. So here is what I tried so far.

! pip install transformers datasets
import torch
import numpy as np
from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
!pip install sentencepiece

model_name = "facebook/m2m100_418M"
model = M2M100ForConditionalGeneration.from_pretrained(model_name)
tokenizer = M2M100Tokenizer.from_pretrained(model_name)

example_text = "Hello, world!"
tokenizer.src_lang = "en"
example_input = tokenizer(example_text, return_tensors="pt").input_ids

traced_model = torch.jit.trace(model, example_input)