Greek BERT Sentence Base Uncased Embedding

Description

A Greek version of BERT pre-trained language model.

The pre-training corpora of bert-base-greek-uncased-v1 include:

• The Greek part of Wikipedia,
• The Greek part of European Parliament Proceedings Parallel Corpus, and
• The Greek part of OSCAR, a cleansed version of Common Crawl.

Predicted Entities

Live Demo Open in Colab Download Copy S3 URI

How to use

sent_embeddings = BertSentenceEmbeddings.pretrained("sent_bert_base_uncased", "el") \
      .setInputCols("sentence") \
      .setOutputCol("bert_sentence")

nlp_pipeline = Pipeline(stages=[document_assembler, sentence_detector, sent_embeddings ])

val sent_embeddings = BertSentenceEmbeddings.pretrained("sent_bert_base_uncased", "el")
      .setInputCols("sentence")
      .setOutputCol("bert_sentence")

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

import nlu
nlu.load("el.embed_sentence.bert.base_uncased").predict("""Put your text here.""")

Model Information

Data Source

The model is imported from: https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1