Japanese ALBERT Embeddings (from ken11)

Description

Pretrained ALBERT Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. albert-base-japanese-v1 is a Japanese model orginally trained by ken11.

Live Demo Open in Colab Download Copy S3 URI

How to use

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

tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")

embeddings = AlbertEmbeddings.pretrained("albert_embeddings_albert_base_japanese_v1","ja") \
.setInputCols(["document", "token"]) \
.setOutputCol("embeddings")

pipeline = Pipeline(stages=[documentAssembler, tokenizer, embeddings])

data = spark.createDataFrame([["私はSpark NLPを愛しています"]]).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 = AlbertEmbeddings.pretrained("albert_embeddings_albert_base_japanese_v1","ja") 
.setInputCols(Array("document", "token")) 
.setOutputCol("embeddings")

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

val data = Seq("私はSpark NLPを愛しています").toDF("text")

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

import nlu
nlu.load("ja.embed.albert_base_japanese_v1").predict("""私はSpark NLPを愛しています""")

Model Information

References

• https://huggingface.co/ken11/albert-base-japanese-v1
• https://ken11.jp/blog/sentencepiece-tokenizer-bug
• https://ja.wikipedia.org/wiki/Wikipedia:%E3%83%87%E3%83%BC%E3%82%BF%E3%83%99%E3%83%BC%E3%82%B9%E3%83%80%E3%82%A6%E3%83%B3%E3%83%AD%E3%83%BC%E3%83%89
• https://www.rondhuit.com/download.html#ldcc
• https://github.com/google/sentencepiece
• https://opensource.org/licenses/MIT