# Vietnamese NLP

This model is a text classification model fine-tuned on an unknown dataset based on PhoBERT-base-v2. It achieved an accuracy of 99.67% and an F1 score of 99.32% on the evaluation set.

ViChart is a visual question answering model based on the transformers library, specializing in Vietnamese chart comprehension tasks.

A multilingual sequence-to-sequence model based on Flan-T5-Large, supporting Vietnamese, English, and Chinese, suitable for tasks such as summarization, translation, and question answering.

This is a BERT model pretrained on Vietnamese text for POS tagging and dependency parsing.

Stanza is a toolkit for Vietnamese syntactic analysis, supporting tasks from raw text to syntactic parsing and entity recognition.

This is a customized distilled version of the multilingual DistilBERT base model, optimized for Vietnamese language processing while retaining the original model's representational capabilities and accuracy.