ZycckZ/Simple_VieQA-sentiment

Simple_VieQA Sentiment (ZycckZ)

Fine-tuned version of Simple_VieQA
for Vietnamese sentiment analysis on UIT-VSFC dataset.

🧠 Performance

Metric	Score
Accuracy	0.936
F1-weighted	0.930

🚀 How to use

from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

model_name = "ZycckZ/Simple_VieQA-sentiment"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)

text = "Sản phẩm rất tốt, pin trâu"
inputs = tokenizer(text, return_tensors="pt")
with torch.no_grad():
    logits = model(**inputs).logits
pred = torch.argmax(logits, dim=-1).item()
print(pred)