# Multi-Label Classification

A fine-tuned model based on Vision Transformer (ViT) architecture for classifying chest X-rays, trained on the CheXpert dataset.

A zero-shot classification model fine-tuned on the facebook/xnli German dataset based on deepset/gbert-large

A multi-label emotion classification model fine-tuned based on ruRoberta-large, capable of detecting 27 emotion types in Russian text. It is currently the best-performing open-source emotion detection model for Russian.

Fine-tuned on the French portion of the XNLI dataset based on the Camembert-base model, supporting French zero-shot classification

A meme classification model fine-tuned based on Microsoft's ResNet-152 architecture, performing well in image classification tasks.