winvoker/turkish-sentiment-analysis-dataset
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How to use uisikdag/turkish-sentiment-modernbert with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="uisikdag/turkish-sentiment-modernbert") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("uisikdag/turkish-sentiment-modernbert")
model = AutoModelForSequenceClassification.from_pretrained("uisikdag/turkish-sentiment-modernbert")from transformers import pipeline
# Load model
classifier = pipeline("sentiment-analysis", model="uisikdag/turkish-sentiment-modernbert")
# Predict
texts = [
"Bu ürün gerçekten harika!",
"Kalitesiz bir ürün, paramı çöpe attım.",
"Fiyatına göre normal, idare eder."
]
for text in texts:
result = classifier(text)[0]
print(f"{text}")
print(f" → {result['label']} ({result['score']:.4f})\n")