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Update README.md

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@@ -39,7 +39,7 @@ including but not limited to fine-grained sentiment analysis (ABSA), product-rel
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  >>> model = AutoModelForSeq2SeqLM.from_pretrained("NUSTM/dutch-restaurant-mt5-small")
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  >>> input_ids = tokenizer(
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- ... "The pizza here is delicious!!", return_tensors="pt"
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  ... ).input_ids # Batch size 1
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  >>> outputs = model(input_ids=input_ids)
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  ```
 
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  >>> model = AutoModelForSeq2SeqLM.from_pretrained("NUSTM/dutch-restaurant-mt5-small")
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  >>> input_ids = tokenizer(
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+ ... "De pizza's hier zijn heerlijk!!!", return_tensors="pt"
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  ... ).input_ids # Batch size 1
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  >>> outputs = model(input_ids=input_ids)
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  ```