ST
ENT-00001501 · Framework IA

Sentence Transformers

Sentence Transformers is a AI software framework associated with Hugging Face ecosystem, classified in LXKeys.world as AI / ML Framework.

Niveau IV ConnectéActifDocumenté
Fiche publique

Vue d’ensemble

Sentence Transformers is a technical AI system associated with Hugging Face ecosystem. The record documents its role in model development, retrieval, serving, orchestration, evaluation, deployment or machine learning infrastructure.

Chronologie

  1. 2019Initial public software release

    Sentence Transformers entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Model developmentModel servingTechnical AI workflow

Limites connues

Capabilities depend on software version, runtime environment, optional integrations and supported backends.API stability, maintenance status and compatibility can change over time.The framework does not by itself guarantee the quality, safety or performance of models built with it.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for Sentence Transformers. Entity type: AI Framework; classification: AI / ML Framework; creator/organization context: UKP Lab. Canonical source anchor: https://www.sbert.net. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

AI InfrastructureFrameworkMachine Learning
Graphe relationnel

Sentence Transformers

Ouvrir dans le graphe complet
Sentence Transformers
Organisation associéeSortante
Hugging Face ecosystem

Sentence Transformers is associated with Hugging Face ecosystem through its documented source context.

Créé parEntrante
All-MiniLM-L6-v2

All-MiniLM-L6-v2 is associated with Sentence Transformers through its documented source context.

Créé parEntrante
All-mpnet-base-v2

All-mpnet-base-v2 is associated with Sentence Transformers through its documented source context.

Créé parEntrante
Multi-QA MiniLM L6 Cos v1

Multi-QA MiniLM L6 Cos v1 is associated with Sentence Transformers through its documented source context.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

{
    "@context": [
        "https://schema.org",
        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00001501",
    "name": "Sentence Transformers",
    "alternateName": [],
    "additionalType": {
        "category": "Frameworks and Software",
        "type": "AI Framework",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "Sentence Transformers is a AI software framework associated with Hugging Face ecosystem, classified in LXKeys.world as AI / ML Framework.",
    "creator": "UKP Lab",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001501&lang=fr",
    "sameAs": "https://www.sbert.net",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001501",
        "kind": "Frameworks and Software",
        "type": "AI Framework",
        "subtype": "",
        "classification": "AI / ML Framework",
        "organization": "Hugging Face ecosystem",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2019",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:28+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Model development",
            "Model serving",
            "Technical AI workflow"
        ],
        "limitations": [
            "Capabilities depend on software version, runtime environment, optional integrations and supported backends.",
            "API stability, maintenance status and compatibility can change over time.",
            "The framework does not by itself guarantee the quality, safety or performance of models built with it."
        ],
        "tags": [
            "AI Infrastructure",
            "Framework",
            "Machine Learning"
        ],
        "timeline": [
            {
                "date": "2019",
                "title": "Initial public software release",
                "description": "Sentence Transformers entered the documented public record in 2019. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://www.sbert.net",
                "verification_status": "source_backed_official"
            }
        ],
        "relationships": [
            {
                "target": "Hugging Face ecosystem",
                "type": "Associated organization",
                "description": "Sentence Transformers is associated with Hugging Face ecosystem through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Sentence Transformers documentation",
                "url": "https://www.sbert.net/",
                "source_type": "Official Documentation",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
Preuves

Contribuer à cette entrée

Soumettez une source, une correction ou un commentaire. Les modifications publiques restent modérées.

Soumettre une preuve ou un commentaire

Commentaires approuvés

Aucun commentaire public approuvé pour le moment.