# Lightweight ALBERT

A Korean cross-encoder model fine-tuned from albert-small-kor-v1 for sentence similarity calculation

tiny-albert is a small language model based on the ALBERT architecture, suitable for natural language processing tasks.

Provides Traditional Chinese transformers models and natural language processing tools

This model is a text classification model fine-tuned on the GLUE RTE task based on ALBERT-large-v2, used for recognizing textual entailment relationships.

A lightweight ALBERT model developed by Academia Sinica's CKIP team, supporting Traditional Chinese NLP tasks

This is a Chinese natural language processing model based on the ALBERT Tiny architecture, focusing on named entity recognition tasks and supporting Traditional Chinese.

This is a Traditional Chinese ALBERT model developed by Academia Sinica's CKIP team, suitable for various natural language processing tasks.

ALBERT Small v2 is a 6-layer lightweight version of ALBERT-base-v2, based on the Transformer architecture, suitable for natural language processing tasks.