Japanese BertForSequenceClassification Base Cased model (from patrickramosobf)

Description

Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. bert-base-japanese-v2-wrime-fine-tune is a Japanese model originally trained by patrickramosobf.

Predicted Entities

writer_joy, writer_trust, reader_joy, writer_fear, writer_anger, reader_disgust, reader_sadness, reader_surprise, reader_anger, reader_anticipation, writer_disgust, reader_trust, writer_surprise, writer_anticipation, reader_fear, writer_sadness

Live Demo Open in Colab Download Copy S3 URI

How to use

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

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

seq_classifier = BertForSequenceClassification.pretrained("bert_classifier_bert_base_japanese_v2_wrime_fine_tune","ja") \
    .setInputCols(["document", "token"]) \
    .setOutputCol("class")

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

data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")

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

val documentAssembler = new DocumentAssembler()
      .setInputCols(Array("text"))
      .setOutputCols(Array("document"))

val tokenizer = new Tokenizer()
    .setInputCols("document")
    .setOutputCol("token")

val seq_classifier = BertForSequenceClassification.pretrained("bert_classifier_bert_base_japanese_v2_wrime_fine_tune","ja")
    .setInputCols(Array("document", "token"))
    .setOutputCol("class")

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

val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")

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

import nlu
nlu.load("ja.classify.bert.v2_base").predict("""PUT YOUR STRING HERE""")

Model Information

References

• https://huggingface.co/patrickramosobf/bert-base-japanese-v2-wrime-fine-tune
• https://github.com/ids-cv/wrime
• https://aclanthology.org/2022.wassa-1.10/
• https://github.com/PatrickJohnRamos/BERT-Japan-vaccination