English BertForSequenceClassification Base Uncased model (from Hate-speech-CNERG)

Description

Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. bert-base-uncased-hatexplain-rationale-two is a English model originally trained by Hate-speech-CNERG.

Predicted Entities

NORMAL, ABUSIVE

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_uncased_hatexplain_rationale_two","en") \
    .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_uncased_hatexplain_rationale_two","en")
    .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("en.classify.bert.hate.uncased_base.by_hate_speech_cnerg").predict("""PUT YOUR STRING HERE""")

Model Information

References

References

• https://huggingface.co/Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two
• https://arxiv.org/abs/2012.10289
• https://github.com/punyajoy/HateXplain
• https://aclanthology.org/2021.acl-long.330.pdf
• https://dl.acm.org/doi/pdf/10.1145/3442188.3445922
• https://github.com/hate-alert/HateXplain/tree/master/Preprocess
• https://arxiv.org/pdf/2012.10289.pdf