ennp/

bert-turkish-text-classification-cased

from transformers import pipeline, AutoModelForTokenClassification, AutoTokenizer, AutoModelForSequenceClassification
tokenizer= AutoTokenizer.from_pretrained("ennp/bert-turkish-text-classification-cased")

model= AutoModelForSequenceClassification.from_pretrained("ennp/bert-turkish-text-classification-cased")

nlp=pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)

code_to_label={
 'LABEL_0': 'INSULT ',
 'LABEL_1': 'RACIST ',
 'LABEL_2': 'SEXIST',
 'LABEL_3': 'PROFANITY ',
 'LABEL_4': 'OTHER' }

code_to_label[nlp("kıl herif gibi davranma")[0]['label']]