Description
Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. autotrain-Arabic_Poetry_by_Subject-920730227
is a Arabic model originally trained by zenkri
.
Predicted Entities
اعتذار
, مدح
, صبر
, سياسية
, وطنيه
, رثاء
, عامه
, ابتهال
, قصيره
, رومنسيه
, حزينه
, عتاب
, رحمة
, الاناشيد
, المعلقات
, فراق
, هجاء
, نصيحة
, جود
, حكمة
, شوق
, دينية
, عدل
, غزل
, ذم
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
sequenceClassifier = BertForSequenceClassification.pretrained("bert_sequence_classifier_autotrain_arabic_poetry_by_subject_920730227","ar") \
.setInputCols(["document", "token"]) \
.setOutputCol("class")
pipeline = Pipeline(stages=[documentAssembler, tokenizer, sequenceClassifier])
data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")
result = pipeline.fit(data).transform(data)
val documentAssembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")
val tokenizer = new Tokenizer()
.setInputCols("document")
.setOutputCol("token")
val sequenceClassifier = BertForSequenceClassification.pretrained("bert_sequence_classifier_autotrain_arabic_poetry_by_subject_920730227","ar")
.setInputCols(Array("document", "token"))
.setOutputCol("ner")
val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, sequenceClassifier))
val data = Seq("PUT YOUR STRING HERE").toDS.toDF("text")
val result = pipeline.fit(data).transform(data)
Model Information
Model Name: | bert_sequence_classifier_autotrain_arabic_poetry_by_subject_920730227 |
Compatibility: | Spark NLP 5.1.4+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [document, token] |
Output Labels: | [ner] |
Language: | ar |
Size: | 414.3 MB |
Case sensitive: | true |
Max sentence length: | 128 |
References
References
- https://huggingface.co/zenkri/autotrain-Arabic_Poetry_by_Subject-920730227