# Multi-class classification

A multi-class news headline classification model fine-tuned based on microsoft/deberta-v3-large, supporting classification into 7 news categories.

This is a zero-shot classification model under the MIT License, suitable for various classification tasks without specific training.

A news classification model based on BERT-base-uncased, capable of accurately classifying various news categories.

A Russian multi-class sentiment classification model fine-tuned based on RuBERT, supporting neutral, positive, and negative sentiment classifications.

This is a multi-class image classification model trained via AutoTrain, demonstrating outstanding performance on the validation set with all evaluation metrics reaching 1.0.

This model is a fine-tuned image classification model based on microsoft/beit-base-patch16-224-pt22k-ft22k, achieving an accuracy of 93.59% on the evaluation set.

This is a multi-class image classification model trained using AutoTrain, specifically designed for weather classification tasks.