# English Text

A fine-tuned BERT-tiny model for book text classification, primarily used to distinguish book texts (mainly novels) from general texts.

Sentence embedding model based on MPNet architecture, mapping text to a 384-dimensional vector space, suitable for semantic search and sentence similarity tasks

A sentence embedding model based on DistilBERT, specifically fine-tuned for Home Depot-related tasks, capable of mapping text to a 768-dimensional vector space.

This model is a fine-tuned version of bert-base-uncased on an unknown dataset, primarily used for text classification tasks.

A lightweight sentiment analysis model based on the DistilBERT architecture, fine-tuned specifically for the SST2 dataset, capable of identifying positive or negative emotions in text.

Lightweight sentiment analysis model based on ALBERT architecture, fine-tuned on Twitter sentiment dataset