Task
Feature Extraction
J
jinaai/jina-embeddings-v2-base-de
Feature Extraction·jinaai· 334.7K· 84
The text embedding set trained by Jina AI.
# pull & run locally
pip install mlforge-sdk && mlforge pull jinaai/jina-embeddings-v2-base-de
pip install mlforge-sdk && mlforge pull jinaai/jina-embeddings-v2-base-de
Model details
Provider
jinaai
Framework
sentence-transformers
Parameters
160.8M
Size
1.6 GB
License
apache-2.0
Downloads
334.7K
Likes
84
Paper
arXiv:2108.12409
Updated
2025-01-06
About jinaai/jina-embeddings-v2-base-de
--- tags: - sentence-transformers - feature-extraction - sentence-similarity - mteb - transformers - transformers.js language: - de - en inference: false license: apache-2.0 model-index: - name: jina-embeddings-v2-base-de results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 73.76119402985076 - type: ap value: 35.99577188521176 - type: f1 value: 67.50397431543269 - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (de) config: de split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 68.9186295503212 - type: ap value: 79.73307115840507 - type: f1 value: 66.66245744831339 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 77.52215 - type: ap value: 71.85051037177416 - type: f1 value: 77.4171096157774 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c