# ALBERT architecture

A zero-shot text classification model trained with Self-Supervised Tuning (SSTuning), based on ALBERT-xxlarge-v2 architecture, which can be directly applied to tasks like sentiment analysis and topic classification without fine-tuning.

A Traditional Chinese natural language processing model developed by the Academia Sinica CKIP team, based on the ALBERT architecture, supporting tasks such as word segmentation and part-of-speech tagging.

A Q&A system model based on the ALBERT architecture, trained on the SQuAD v2 dataset for handling question-answering tasks.

A lightweight BERT model for Persian self-supervised language representation learning

A Traditional Chinese Transformer model developed by the Lexical Knowledge Base Group of Academia Sinica, including architectures such as ALBERT, BERT, GPT2 and natural language processing tools

Traditional Chinese natural language processing model developed by Academia Sinica's CKIP team, supporting tasks like word segmentation and part-of-speech tagging

This model is a Named Entity Recognition (NER) model fine-tuned on the conll2003 dataset based on the ALBERT-base-v2 architecture, demonstrating excellent performance in entity recognition tasks.