Italian BertForSequenceClassification Cased model (from inovex)

Description

Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. multi2convai-quality-it-mbert is a Italian model originally trained by inovex.

Predicted Entities

neo.buerstentraegerfalschmontiert, neo.getriebedeckel, neo.gehause, neo.start, neo.magnet, neo.schraube, undefined, neo.help, neo.motor.housing, neo.motor.anchor, neo.magnetisierung, neo.motor.brushcollar, neo.anlaufscheibe, neo.gearbox, neo.verschaubung, neo.zusammenfuehrung, neo.yes, neo.magnetklammern, neo.motor, neo.motor.worm, neo.back, neo.cancel, neo.hello, neo.sinterbuchse, neo.no, neo.zahnradklein, neo.buerstentraegerdefekt, neo.zahnradgross, neo.anker, neo.magnet.magnet, neo.einpressen

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How to use

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

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

sequenceClassifier = BertForSequenceClassification.pretrained("bert_sequence_classifier_multi2convai_quality_it_mbert","it") \
    .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_multi2convai_quality_it_mbert","it")
    .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_multi2convai_quality_it_mbert
Compatibility:	Spark NLP 4.3.1+
License:	Open Source
Edition:	Official
Input Labels:	[document, token]
Output Labels:	[ner]
Language:	it
Size:	668.0 MB
Case sensitive:	true
Max sentence length:	128

References

https://huggingface.co/inovex/multi2convai-quality-it-mbert
https://multi2conv.ai
https://multi2convai/en/blog/use-cases
https://multi2convai/en/blog/use-cases
https://multi2conv.ai
https://github.com/inovex/multi2convai

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