
Overview
jina-embeddings-v2-base-de is an open-source bilingual German-English embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many applications, such as document clustering, classification, content personalization, vector search, or retrieval augmented generation.
Highlights
- State-of-the-art: This model is designed for high performance in mono-lingual & cross-lingual applications and has been trained specifically to support mixed German-English input without bias.
- Extended Context: An 8192-token length enables jina-embeddings-v2-base-de to support longer texts and document fragments, far surpassing models that only support a few hundred tokens at a time.
- Compact Size: jina-embeddings-v2-base-de is built for high performance on standard computer hardware. With only 161 million parameters, the entire model is only 322MB. The embeddings themselves are 768 dimensions, a relatively small vector size compared to many models, saving space and run-time for applications.
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Pricing
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g4dn.2xlarge Inference (Batch) Recommended | Model inference on the ml.g4dn.2xlarge instance type, batch mode | $2.20 |
ml.g5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.xlarge instance type, real-time mode | $2.50 |
ml.p2.xlarge Inference (Batch) | Model inference on the ml.p2.xlarge instance type, batch mode | $2.30 |
ml.p3.8xlarge Inference (Batch) | Model inference on the ml.p3.8xlarge instance type, batch mode | $25.00 |
ml.g4dn.4xlarge Inference (Batch) | Model inference on the ml.g4dn.4xlarge instance type, batch mode | $4.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $7.00 |
ml.g4dn.16xlarge Inference (Batch) | Model inference on the ml.g4dn.16xlarge instance type, batch mode | $14.50 |
ml.p2.8xlarge Inference (Batch) | Model inference on the ml.p2.8xlarge instance type, batch mode | $18.00 |
ml.g4dn.8xlarge Inference (Batch) | Model inference on the ml.g4dn.8xlarge instance type, batch mode | $7.60 |
ml.g4dn.12xlarge Inference (Batch) | Model inference on the ml.g4dn.12xlarge instance type, batch mode | $11.25 |
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Version release notes
First release of bilingual en-de model
Additional details
Inputs
- Summary
The model accepts JSON inputs. Texts must be passed in the following format.
{ "data": [ {"text": "How is the weather today?"}, {"text": "Wie ist das Wetter heute??"}, {"text": "Welche Farbe hat eine Orange??"} ] }
- Input MIME type
- text/csv
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
data | An array of strings for the model to embed. | Type: FreeText | Yes |
text | An array of strings for the model to embed. | Type: FreeText | Yes |
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We provide support for this model package through our enterprise support channel.
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