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
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 5.2.0+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [document, token] |
| Output Labels: | [class] |
| Language: | en |
| Size: | 427.5 MB |
| Case sensitive: | true |
| Max sentence length: | 256 |
References
References
- https://huggingface.co/aristotletan/roberta-base-finetuned-sst2