Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
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,
Show the rest of the publisher’s description (18 more lines)
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.
Agent build and provenance
See the full provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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