Dutch BERT Base Cased Embedding

Description

BERTje is a Dutch pre-trained BERT model developed at the University of Groningen.

Predicted Entities

How to use

embeddings = BertEmbeddings.pretrained("bert_base_cased", "nl") \
      .setInputCols("sentence", "token") \
      .setOutputCol("embeddings")

nlp_pipeline = Pipeline(stages=[document_assembler, sentence_detector, tokenizer, embeddings])

val embeddings = BertEmbeddings.pretrained("bert_base_cased", "nl")
      .setInputCols("sentence", "token")
      .setOutputCol("embeddings")

val pipeline = new Pipeline().setStages(Array(document_assembler, sentence_detector, tokenizer, embeddings))

import nlu
nlu.load("nl.embed.bert.base_cased").predict("""Put your text here.""")

Model Information

Model Name:	bert_base_cased
Compatibility:	Spark NLP 3.2.2+
License:	Open Source
Edition:	Official
Input Labels:	[sentence, token]
Output Labels:	[bert]
Language:	nl
Case sensitive:	true

Data Source

The model is imported from: https://huggingface.co/GroNLP/bert-base-dutch-cased

PREVIOUSSpanish BERT Base Cased Embedding

NEXTSwedish BERT Base Cased Embedding