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Sup SimCSE VietNamese Phobert Base
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Sup SimCSE VietNamese Phobert Base

huggingface.co·Infrastructure

This Hugging Face model is a Vietnamese-adapted version of SimCSE using the PhoBERT base. It produces dense vector representations optimized for semantic similarity, clustering, and retrieval applications. The model is freely available for download and can be used locally or via inference providers for Vietnamese natural language processing tasks.

Open Source
WebCLIAPI
S
Sup SimCSE VietNamese Phobert Base preview
Visit huggingface.co↗

Overview

3 features

In the Foundation models & chat space, Sup SimCSE VietNamese Phobert Base takes a focused approach. It focuses on generating high-quality sentence embeddings for Vietnamese text for similarity and retrieval tasks. It is built as an open-source project for developers. Sup SimCSE VietNamese Phobert Base is open source under the Open Source license. The product ships for the web, the command line, and API.

VoVanPhuc builds and maintains Sup SimCSE VietNamese Phobert Base, and the product first shipped in 2022. Key capabilities include Sentence Similarity, Vietnamese NLP, and Embedding Model.

  • ✓Sentence Similarity
  • ✓Vietnamese NLP
  • ✓Embedding Model

Tags

vietnamese-bertsentence-embeddingssimcsenlp-model

AI capabilities

TextInference: LocalWeights: Open

Built with & integrations

Hosting
aws
Runs on
BrowserCLIAPI-only

Trust & compliance

LicenseOpen Source
Verified signals
✓ HTTPS✓ Privacy Policy✓ Terms of Service✓ Open Source✓ Free tier
Legal
Privacy Policy →Terms of Service →

Recent events

Latest indexed changes and source events

  1. IndexedJul 21, 9:51 AM

    VoVanPhuc/sup-SimCSE-VietNamese-phobert-base verified by the PulseGate indexer

    Source: PulseGate indexerOpen ↗

Frequently asked questions about Sup SimCSE VietNamese Phobert Base

What does Sup SimCSE VietNamese Phobert Base do?
Sup SimCSE VietNamese Phobert Base focuses on generating high-quality sentence embeddings for Vietnamese text for similarity and retrieval tasks. It is catalogued under Foundation models & chat on PulseGate.
Who is Sup SimCSE VietNamese Phobert Base for?
Sup SimCSE VietNamese Phobert Base is an open-source project built for developers.
Is Sup SimCSE VietNamese Phobert Base free?
Yes — Sup SimCSE VietNamese Phobert Base is open source under the Open Source license and free to use.
What platforms does Sup SimCSE VietNamese Phobert Base run on?
Sup SimCSE VietNamese Phobert Base runs on the web, the command line, and API.
Is Sup SimCSE VietNamese Phobert Base still maintained?
PulseGate's liveness checks currently classify Sup SimCSE VietNamese Phobert Base as active.
What are alternatives to Sup SimCSE VietNamese Phobert Base?
Similar tools tracked by PulseGate include Vietnamese Sbert, KoSimCSE Roberta, and Vietnamese Document Embedding.Vietnamese SbertKoSimCSE RobertaVietnamese Document Embedding
Who makes Sup SimCSE VietNamese Phobert Base?
Sup SimCSE VietNamese Phobert Base is developed by VoVanPhuc.
When did Sup SimCSE VietNamese Phobert Base launch?
Sup SimCSE VietNamese Phobert Base first shipped in 2022.

At a glance

Pricing
Open Source
Platforms
Cli · Web
Languages
English
License
Open Source
First seen
May 5, 2022
Activity
🟢 Active
Status
🟢 Active
Built for
developers
Model
Open source
Solves
Generating high-quality sentence embeddings for Vietnamese text for similarity and retrieval tasks.

Developer

VoVanPhuc

Live coverage

Confidence
Medium · 70
Indexed
Jul 21, 2026
Lifecycle
Alive
Activity
Active
First seen
May 2022
Last seen
today
Identity audit (9)
Entity ID
cmruh5ku802fpke3qxg3tv6jn
Slug
vovanphuc-sup-simcse-vietnamese-phobert-base-huggingface-co
Verification state
Indexed for public listing
Claim / listing state
Unclaimed · listed: yes
Index status
Included in index
Latest evidence snapshot
Jul 21, 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Last updated
Jul 21, 2026
Canonical URL
https://huggingface.co/VoVanPhuc/sup-SimCSE-VietNamese-phobert-base

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  • Modernbert Embed Base
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  • Klue Sroberta Base Continue Learning By Mnr
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