Russian RoBERTa Embeddings (from sberbank-ai)


Pretrained RoBERTa Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. ruRoberta-large is a Russian model orginally trained by sberbank-ai.


How to use

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

tokenizer = Tokenizer() \
    .setInputCols("document") \
embeddings = RoBertaEmbeddings.pretrained("roberta_embeddings_ruRoberta_large","ru") \
    .setInputCols(["document", "token"]) \
pipeline = Pipeline(stages=[documentAssembler, tokenizer, embeddings])

data = spark.createDataFrame([["Я люблю искра NLP"]]).toDF("text")

result =
val documentAssembler = new DocumentAssembler() 
val tokenizer = new Tokenizer() 

val embeddings = RoBertaEmbeddings.pretrained("roberta_embeddings_ruRoberta_large","ru") 
    .setInputCols(Array("document", "token")) 

val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, embeddings))

val data = Seq("Я люблю искра NLP").toDF("text")

val result =
import nlu
nlu.load("ru.embed.ruRoberta_large").predict("""Я люблю искра NLP""")

Model Information

Model Name: roberta_embeddings_ruRoberta_large
Compatibility: Spark NLP 3.4.2+
License: Open Source
Edition: Official
Input Labels: [sentence, token]
Output Labels: [bert]
Language: ru
Size: 1.3 GB
Case sensitive: true