I trained a BERT based encoder decoder model: ed_model I tokenized the input with: txt = "I love huggingface" inputs = input_tokenizer(txt, return_tensors="pt").to(device) print(inputs) The output clearly shows that a input_ids is the return dict {'input_ids': tensor([[ 101, 5660, 7975, 2127, 2…

I get a "You have to specify either input_ids or inputs_embeds" error, but I do specify the input ids

ugoren June 4, 2021, 10:55am 3

Yes, thank you !
Solved the issue

Do you happen to have any thoughts on this as well ?

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