English roberta_mtl_media_bias RoBertaForSequenceClassification from mediabiasgroup

Description

Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_mtl_media_bias is a English model originally trained by mediabiasgroup.

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How to use


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

tokenizer = Tokenizer()\
    .setInputCols("document")\
    .setOutputCol("token")  
    
sequenceClassifier = RoBertaForSequenceClassification.pretrained("roberta_mtl_media_bias","en")\
            .setInputCols(["document","token"])\
            .setOutputCol("class")

pipeline = Pipeline().setStages([document_assembler, tokenizer, sequenceClassifier])

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

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


val document_assembler = new DocumentAssembler()
    .setInputCol("text")
    .setOutputCol("document")

val tokenizer = new Tokenizer()
    .setInputCols("document") 
    .setOutputCol("token")  
    
val sequenceClassifier = RoBertaForSequenceClassification.pretrained("roberta_mtl_media_bias","en")
            .setInputCols(Array("document","token"))
            .setOutputCol("class")

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: roberta_mtl_media_bias
Compatibility: Spark NLP 5.2.0+
License: Open Source
Edition: Official
Input Labels: [documents, token]
Output Labels: [class]
Language: en
Size: 467.8 MB

References

https://huggingface.co/mediabiasgroup/roberta_mtl_media_bias