Model: pierre-tassel/rapido-ner-entity
Author: pierre-tassel
Pipeline: token-classification
Library: transformers
Tags: transformers, safetensors, rapido-ner-entity, ner, entity-embeddings, entity-linking, named-entity-recognition, multilingual, token-classification, zero-shot, embeddings, clustering, crf, retrieval, long-context, custom_code, en, zh, pt, sk, hr, sv, da, sr, de, fr, ru, es, it, ja, ko, nl, ar, pl, tl, cs, tr, no, uk, fi, vi, ro, id, lv, ms, el, bg, bn, fa, pa, ta, th, sl, hu, he, te, hi, mr, lt, ur, et, ml, gu, ca, jv, sw, my, az, ceb, base_model:Alibaba-NLP/gte-multilingual-mlm-base, base_model:finetune:Alibaba-NLP/gte-multilingual-mlm-base, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: Alibaba-NLP/gte-multilingual-mlm-base
Card metadata: language: multilingual, en, zh, pt, sk, hr, sv, da, sr, de, fr, ru, es, it, ja, ko, nl, ar, pl, tl, cs, tr, no, uk, fi, vi, ro, id, lv, ms, el, bg, bn, fa, pa, ta, th, sl, hu, he, te, hi, mr, lt, ur, et, ml, gu, ca, jv, sw, my, az, ceb
library_name: transformers
pipeline_tag: token-classification
tags: ner, entity-embeddings, entity-linking, named-entity-recognition, multilingual, token-classification, zero-shot, embeddings, clustering, crf, retrieval, long-context
thumbnail: rapido_model_mascot.png
base_model: Alibaba-NLP/gte-multilingual-mlm-base
base_model_relation: finetune
license: apache-2.0
metrics: f1, precision, recall
widget: text: I'm traveling to Cologne next week.
example_title: EN • LOC, text: Ich fahre nächste Woche nach Köln.
example_title: DE • LOC, text: Je vais à Cologne la semaine prochaine.
example_title: FR • LOC, text: Apple opened a lab in Paris.
example_title: EN • ORG+LOC, text: Microsoft acquired a startup in Berlin.
example_title: EN • ORG+LOC
model-index: name: pierre-tassel/rapido-ner-entity
results: task: type: token-classification
name: Named Entity Recognition
dataset: name: CoNLL 2003 (English)
type: conll2003
config: en
split: test
metrics: name: F1
type: f1
value: 0.9326
verified: no, name: Precision
type: precision
value: 0.9111
verified: no, name: Recall
type: recall
value: 0.9551
verified: no, task: type: token-classification
name: Named Entity Recognition
dataset: name: CoNLL 2002 (Spanish)
type: conll2002
config: es
split: test
metrics: name: F1
type: f1
value: 0.8007
verified: no, name: Precision
type: precision
value: 0.7515
verified: no, name: Recall
type: recall
value: 0.8568
verified: no, task: type: token-classification
name: Named Entity Recognition
dataset: name: GermEval 2014 (German)
type: germeval_14
config: de
split: test
metrics: name: F1
type: f1
value: 0.8473
verified: no, name: Precision
type: precision
value: 0.829
verified: no, name: Recall
type: recall
value: 0.8663
verified: no
Likes: 5 | All-time downloads: 1438
Created: 2025-09-23 17:45:34