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@@ -3,13 +3,12 @@ license: mit
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  ---
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  This model is a test for educational proposits.
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- To use:
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  from transformers import pipeline
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  classifier = pipeline("sentiment-analysis", model="areumtecnologia/bert-text-classification", tokenizer="areumtecnologia/bert-text-classification")
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- # Exemplo de texto para classificação
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  texts = ["I love this movie!", "This is a terrible movie.", "Awesome!", "Very bad!"]
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  results = classifier(texts)
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  ---
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  This model is a test for educational proposits.
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+ # To use:
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  from transformers import pipeline
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  classifier = pipeline("sentiment-analysis", model="areumtecnologia/bert-text-classification", tokenizer="areumtecnologia/bert-text-classification")
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  texts = ["I love this movie!", "This is a terrible movie.", "Awesome!", "Very bad!"]
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  results = classifier(texts)
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