# BERT Fine-tuned Model

A BERT fine-tuned academic writing intent classification model for predicting next-step writing intentions in LaTeX paper writing

A BERT-based fine-tuned model specifically designed for legal clause classification tasks, achieving an accuracy rate of 88%.

BERT-based Portuguese named entity recognition model supporting multiple entity categories

This model is a fine-tuned text classification model based on a French pre-trained model, designed to classify French texts according to the United Nations Sustainable Development Goals (SDGs).

A BERT-based text classification model for categorizing English texts according to the United Nations Sustainable Development Goals (SDG)

A biomedical domain intent recognition model fine-tuned based on bert-base-chinese

A fine-tuned version of the bert-base-uncased model on the wiki dataset, suitable for text-related tasks

A multilingual detection model fine-tuned based on the bert-base-multilingual-cased pre-trained model, supporting text detection in 45 languages

A Dutch BERT model fine-tuned on an unknown dataset based on the GroNLP/bert-base-dutch-cased model, specialized for masked language modeling tasks.

A BERT-based Portuguese phrase paraphrase detection model for evaluating the paraphrase relationship between two phrases.