Task
Feature Extraction
M
intfloat/multilingual-e5-large
Feature Extraction·intfloat· 8.1M· 1.2K
sentence-transformers
mit
559.9M params
feature extraction · sentence-transformers model
# pull & run locally
pip install mlforge-sdk && mlforge pull intfloat/multilingual-e5-large
pip install mlforge-sdk && mlforge pull intfloat/multilingual-e5-large
Model details
Provider
intfloat
Framework
sentence-transformers
Parameters
559.9M
License
mit
Downloads
8.1M
Likes
1.2K
Paper
arXiv:2402.05672
Updated
2026-04-02
About intfloat/multilingual-e5-large
--- tags: - mteb - Sentence Transformers - sentence-similarity - feature-extraction - sentence-transformers model-index: - name: multilingual-e5-large results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 79.05970149253731 - type: ap value: 43.486574390835635 - type: f1 value: 73.32700092140148 - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (de) config: de split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 71.22055674518201 - type: ap value: 81.55756710830498 - type: f1 value: 69.28271787752661 - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en-ext) config: en-ext split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 80.41979010494754 - type: ap value: 29.34879922376344 - type: f1 value: 67.62475449011278 - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (ja) config: ja split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metric