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Update all references to canonical models (#29001)

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* Script & Manual edition

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Lysandre Debut
2024-02-16 08:16:58 +01:00
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docs/source/pt/quicktour.md
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@@ -87,7 +87,7 @@ Importe [`pipeline`] e especifique a tarefa que deseja completar:
>>> classifier = pipeline("sentiment-analysis")
```
A pipeline baixa and armazena um [modelo pré-treinado](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) padrão e tokenizer para análise sentimental. Agora você pode usar `classifier` no texto alvo:
A pipeline baixa and armazena um [modelo pré-treinado](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) padrão e tokenizer para análise sentimental. Agora você pode usar `classifier` no texto alvo:
```py
>>> classifier("We are very happy to show you the 🤗 Transformers library.")