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 September 29, 2021, 5:20am 5

Add a “decoder_” prefix

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