# High accuracy classification

A fine-tuned NSFW image classification model based on Falconsai/nsfw_image_detection, achieving 1.0 accuracy on the validation set

A hate speech classifier fine-tuned on the BERT-large Portuguese model, achieving 78.14% accuracy on the hate_speech_portuguese dataset

Image classification model generated by HuggingPics with 86.57% accuracy

An Indonesian fake news classification model based on IndoBERT, fine-tuned on an unknown dataset with an accuracy of 80.59%

This model is a text classification model fine-tuned on the Amazon multilingual reviews dataset based on roberta-base-bne, primarily used for sentiment analysis of Spanish comments.