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")

Downloads last month
14
Safetensors
Model size
109M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.