English RoBertaForSequenceClassification Base Cased model (from aristotletan)

Description

Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. roberta-base-finetuned-sst2 is a English model originally trained by aristotletan.

Predicted Entities

analogous event, disposal, appointment of receiver, event or events, repudiation, non payment, assets, others, breach of obligations, cross default, winding up, nationalisation, judgement, composition and arrangement, jeopardy, insolvency, revocation of license, legal proceedings, cessation of business, invalidity, misrepresentation, creditor control

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_aristotletan_base_finetuned_sst2","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_aristotletan_base_finetuned_sst2","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.base_finetuned.by_aristotletan").predict("""PUT YOUR STRING HERE""")

Model Information

Model Name: roberta_classifier_aristotletan_base_finetuned_sst2
Compatibility: Spark NLP 4.1.0+
License: Open Source
Edition: Official
Input Labels: [document, token]
Output Labels: [class]
Language: en
Size: 428.2 MB
Case sensitive: true
Max sentence length: 256

References

  • https://huggingface.co/aristotletan/roberta-base-finetuned-sst2