areumtecnologia
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Update README.md
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README.md
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@@ -5,6 +5,7 @@ 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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@@ -13,4 +14,5 @@ texts = ["I love this movie!", "This is a terrible movie.", "Awesome!", "Very ba
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results = classifier(texts)
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for text, result in zip(texts, results):
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print(f"Text: {text}\nPrediction: {result}\n")
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# To use:
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<code>
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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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results = classifier(texts)
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for text, result in zip(texts, results):
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print(f"Text: {text}\nPrediction: {result}\n")
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</code>
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