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  • John Snow Labs
  • May 17, 2022

Arabic Electra Embeddings (from aubmindlab)

  • ar
  • open_source
  • electra
  • embeddings

Description

Pretrained Electra Embeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. araelectra-base-generator is a Arabic model orginally trained by aubmindlab.

Download Copy S3 URI

How to use

documentAssembler = DocumentAssembler() \
    .setInputCol("text") \
    .setOutputCol("document")

tokenizer = Tokenizer() \
    .setInputCols("document") \
    .setOutputCol("token")
  
embeddings = BertEmbeddings.pretrained("electra_embeddings_araelectra_base_generator","ar") \
    .setInputCols(["document", "token"]) \
    .setOutputCol("embeddings")
    
pipeline = Pipeline(stages=[documentAssembler, tokenizer, embeddings])

data = spark.createDataFrame([["أنا أحب الشرارة NLP"]]).toDF("text")

result = pipeline.fit(data).transform(data)

val documentAssembler = new DocumentAssembler() 
      .setInputCol("text") 
      .setOutputCol("document")
 
val tokenizer = new Tokenizer() 
    .setInputCols(Array("document"))
    .setOutputCol("token")

val embeddings = BertEmbeddings.pretrained("electra_embeddings_araelectra_base_generator","ar") 
    .setInputCols(Array("document", "token")) 
    .setOutputCol("embeddings")

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

val data = Seq("أنا أحب الشرارة NLP").toDF("text")

val result = pipeline.fit(data).transform(data)

Model Information

Model Name: electra_embeddings_araelectra_base_generator
Compatibility: Spark NLP 3.4.4+
License: Open Source
Edition: Official
Input Labels: [sentence, token]
Output Labels: [embeddings]
Language: ar
Size: 222.7 MB
Case sensitive: true

References

  • https://huggingface.co/aubmindlab/araelectra-base-generator
  • https://arxiv.org/pdf/1406.2661.pdf
  • https://arxiv.org/abs/2012.15516
  • https://archive.org/details/arwiki-20190201
  • https://www.semanticscholar.org/paper/1.5-billion-words-Arabic-Corpus-El-Khair/f3eeef4afb81223df96575adadf808fe7fe440b4
  • https://www.aclweb.org/anthology/W19-4619
  • https://sites.aub.edu.lb/mindlab/
  • https://www.yakshof.com/#/
  • https://www.behance.net/rahalhabib
  • https://www.linkedin.com/in/wissam-antoun-622142b4/
  • https://twitter.com/wissam_antoun
  • https://github.com/WissamAntoun
  • https://www.linkedin.com/in/fadybaly/
  • https://twitter.com/fadybaly
  • https://github.com/fadybaly