{
  "additional_special_tokens": null,
  "eos_token": "</s>",
  "extra_ids": 0,
  "model_max_length": 1000000000000000019884624838656,
  "name_or_path": "AutoTrain",
  "pad_token": "<pad>",
  "sp_model_kwargs": {},
  "special_tokens_map_file": "null"
  "tokenizer_class": "T5Tokenizer",
  "unk_token": "<unk>"
}from transformers import MT5ForConditionalGeneration, T5Tokenizer

model = MT5ForConditionalGeneration.from_pretrained("google/mt5-small")
tokenizer = T5Tokenizer.from_pretrained("google/mt5-small")
article = "UN Offizier sagt, dass weiter verhandelt werden muss in Syrien."
summary = "Weiter Verhandlung in Syrien."
inputs = tokenizer(article, text_target=summary, return_tensors="pt")

outputs = model(**inputs)
loss = outputs.loss