English RobertaForSequenceClassification Cased model (from Siddish)

Description

Pretrained RobertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. autotrain-yes-or-no-classifier-on-circa-1009033469 is a English model originally trained by Siddish.

Predicted Entities

I am not sure how X will interpret Y’s answer, No, In the middle, neither yes nor no, Other, Yes, Yes, subject to some conditions, Probably no, Probably yes / sometimes yes

Download Copy S3 URI

How to use

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

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

seq_classifier = RoBertaForSequenceClassification.pretrained("roberta_classifier_autotrain_yes_or_no_on_circa_1009033469","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 = RoBertaForSequenceClassification.pretrained("roberta_classifier_autotrain_yes_or_no_on_circa_1009033469","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.roberta.by_siddish").predict("""PUT YOUR STRING HERE""")

Model Information

Model Name: roberta_classifier_autotrain_yes_or_no_on_circa_1009033469
Compatibility: Spark NLP 4.1.0+
License: Open Source
Edition: Official
Input Labels: [document, token]
Output Labels: [class]
Language: en
Size: 1.3 GB
Case sensitive: true
Max sentence length: 256

References

  • https://huggingface.co/Siddish/autotrain-yes-or-no-classifier-on-circa-1009033469