Arabic BertForSequenceClassification Cased model (from Yah216)

Description

Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. Arabic_poem_meter_classification is a Arabic model originally trained by Yah216.

Predicted Entities

المنسرح, السلسلة, المضارع, موشح, البسيط, السريع, الرمل, المجتث, المتدارك, الطويل, المتقارب, الخفيف, عامي, المواليا, الهزج, الكامل, الوافر, شعر التفعيلة, شعر حر, المقتضب, الدوبيت, المديد, الرجز

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_arabic_poem_meter_classification","ar") \
    .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_arabic_poem_meter_classification","ar")
    .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)

Model Information

Model Name:	bert_classifier_arabic_poem_meter_classification
Compatibility:	Spark NLP 5.1.4+
License:	Open Source
Edition:	Official
Input Labels:	[document, token]
Output Labels:	[class]
Language:	ar
Size:	506.8 MB
Case sensitive:	true
Max sentence length:	256

References

https://huggingface.co/Yah216/Arabic_poem_meter_classification

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