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
16
Safetensors
Model size
109M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.