jinaai/jina-embeddings-v2-base-de
feature-extraction model by jinaai
From the publisher
Model card & documentation
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The text embedding set trained by Jina AI. The easiest way to starting using jina-embeddings-v2-base-de is to use Jina AI's Embedding API. jina-embeddings-v2-base-de is a German/English bilingual text embedding model supporting 8192 sequence length. It is based on a BERT architecture (JinaBERT) that supports the symmetric bidirectional variant of ALiBi to allow longer sequence length. We have designed it for high performance in mono-lingual & cross-lingual applications and trained it specifically to support mixed German-English input without bias. Additionally, we provide the following embedding models: jina-embeddings-v2-base-de ist ein zweisprachiges Text Embedding Modell für Deutsch und Englisch, welches Texteingaben mit einer Länge von bis zu 8192 Token unterstützt. Es basiert auf der adaptierten Bert-Modell-Architektur JinaBERT, welche mithilfe einer symmetrische Variante von ALiBi längere Eingabetexte erlaubt. Wir haben, das Model für hohe Performance in einsprachigen und cross-lingual Anwendungen entwickelt und speziell darauf trainiert, gemischte deutsch-englische Eingaben ohne einen Bias zu kodieren. Des…
Read the full model card ↗ · Preview checked 2026-10-02T06:40:30.433Z
Inside the original model card — Document outline
- Quick Start
- Intended Usage & Model Info
- Data & Parameters
- Usage
- Why mean pooling?
- Alternatives to Using Transformers Package
- Benchmark Results
- Use Jina Embeddings for RAG
- Contact
- Citation
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
jinaai/jina-embeddings-v2-base-de is a feature-extraction model repository published by jinaai on Hugging Face. The source reports the sentence-transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- feature-extraction
- Library
- sentence-transformers
- Recent downloads (30 days)
- 103,773
- Cumulative likes
- 85
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 160,813,824
- Architecture
- JinaBertForMaskedLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2024-01-12T14:04:50.000Z
- Last modified
- 2025-01-06T16:26:47.000Z
Compatibility and lineage
Reported languages: de, en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-02T06:39:33.310Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.