PhoBERT is a pretrained transformer-based language model developed for processing the Vietnamese language. It is based on the RoBERTa architecture and is trained on large-scale Vietnamese corpora to capture linguistic patterns and context effectively. PhoBERT is designed to provide state-of-the-art performance on a variety of Vietnamese NLP tasks, making it suitable for both research and production environments.

Features of PhoBERT:

• Pretrained on large-scale Vietnamese datasets for strong language understanding.
• Supports text classification tasks such as sentiment analysis and topic categorization.
• Can perform named entity recognition (NER) to identify important entities in Vietnamese text.
• Enables part-of-speech tagging and dependency parsing for linguistic analysis.
• Can be fine-tuned for custom NLP tasks using the Hugging Face Transformers library.
• Supports integration with Python APIs for easy deployment in applications.
• Available in two versions: PhoBERT-base (20GB corpus) and PhoBERT-base-v2 (120GB corpus) for improved performance.
• State-of-the-art performance on Vietnamese NLP benchmarks and tasks.

To Check the Version of Transformers (which includes PhoBERT):
$ sudo su
$ sudo apt update
$ cd/opt
$ source /opt/phobert-env/bin/activate
$ pip show transformers | grep Version

Disclaimer: PhoBERT is an open-source software provided via the Hugging Face Transformers library. It is not affiliated with, endorsed by, or sponsored by any other company. PhoBERT is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors are not responsible for any damages, losses, or consequences resulting from the use of this software. Users are encouraged to review and comply with licensing terms and any applicable regulations when using PhoBERT.