PhoBERT

PhoBERT is a powerful RoBERTa-based language model specifically optimized for high-quality Vietnamese natural language processing (NLP). Trained on large-scale Vietnamese text corpora, PhoBERT delivers state-of-the-art performance across a wide range of tasks such as sentiment analysis, classification, named entity recognition, and semantic understanding. It is designed to offer reliable, deeply contextual language representations tailored for Vietnamese, making it one of the most effective models available for researchers and developers.

Features of PhoBERT:

• RoBERTa-based model trained on large-scale Vietnamese text data.
• Provides state-of-the-art performance on Vietnamese NLP tasks.
• Supports applications such as classification, NER, sentiment analysis, and embeddings.
• Compatible with Hugging Face Transformers and PyTorch frameworks.
• Offers both base and large model variants for different performance needs.
• Designed to capture deep semantic and contextual relationships in Vietnamese text.

PhoBERT Usage Instructions:

$ sudo su
$ cd /opt
$ source phobert-venv/bin/activate
$ Run this test Script to see it's working: python3 phobert_import_test.py
$ PhoBERT: a powerful RoBERTa-based language model optimized for high-quality Vietnamese NLP.
    

Disclaimer: PhoBERT is an open-source Vietnamese language model developed by VinAI Research. This document and the software described herein are not affiliated with, endorsed by, or sponsored by any commercial entity. Users are advised to review and comply with all applicable licensing terms while using PhoBERT.