# DistilBERT optimization

A DistilBERT-based binary text classification model for identifying safe content and restricted (NSFW) content, suitable for content moderation scenarios.

This model is a zero-shot classification model fine-tuned on an economics dataset based on DistilBERT, suitable for classification tasks related to economics texts.

Romanian question-answering model for COVID-19 related queries, built on Romanian DistilBERT

A case-insensitive DistilBERT model fine-tuned on the Multi-Genre Natural Language Inference (MNLI) dataset, optimized for zero-shot classification tasks

This is an English sequence classification model trained on the MBAD dataset, designed to detect bias and fairness in news articles.

A Turkish zero-shot classification model fine-tuned based on dbmdz/distilbert-base-turkish-cased

A named entity recognition model for 10 high-resource languages, based on a fine-tuned Distil BERT base model, capable of identifying three types of entities: locations, organizations, and persons.

A lightweight model based on the DistilBERT architecture, specifically designed for Serbian named entity recognition tasks, trained on the wikiann dataset.