from transformers import pipeline
pipe = pipeline("text-classification", "atasoglu/turkish-tiny-bert-uncased-offenseval2020_tr")
print(pipe("bu bir test metnidir.", top_k=None))
# [{'label': 'NOT', 'score': 0.9964759945869446}, {'label': 'OFF', 'score': 0.0035239490680396557}]

Test Results

Test results examined on the test split of fine-tuning dataset.

	precision	recall	f1-score	support
NOT	0.8966	0.9317	0.9138	2812
OFF	0.6832	0.5782	0.6263	716


accuracy			0.8600	3528
macro avg	0.7899	0.7550	0.7701	3528
weighted avg	0.8533	0.8600	0.8555	3528