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README.md
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@@ -143,9 +143,6 @@ You can use this model directly with a pipeline for causal language modeling:
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>>> from transformers import pipeline
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>>> generator = pipeline(model='PORTULAN/gervasio-7b-portuguese-ptpt-decoder')
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>>> generator("A comida portuguesa é", max_new_tokens=10)
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[{'generated_text': 'A comida portuguesa é rica em variedade.'}]
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```
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<br>
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>>> from transformers import pipeline
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>>> generator = pipeline(model='PORTULAN/gervasio-7b-portuguese-ptpt-decoder')
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>>> generator("A comida portuguesa é", max_new_tokens=10)
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```
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<br>
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