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This model is a test for educational proposits.

To use:

from transformers import pipeline

classifier = pipeline("sentiment-analysis", model="areumtecnologia/bert-text-classification", tokenizer="areumtecnologia/bert-text-classification")

texts = ["I love this movie!", "This is a terrible movie.", "Awesome!", "Very bad!"] results = classifier(texts)

for text, result in zip(texts, results): print(f"Text: {text}\nPrediction: {result}\n")

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Model size
109M params
Tensor type
F32
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