Kannada RoBERTa Embeddings (from Naveen-k)

Description

Pretrained RoBERTa Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. KanBERTo is a Kannada model orginally trained by Naveen-k.

Download

How to use

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

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

data = spark.createDataFrame([["ನಾನು ಸ್ಪಾರ್ಕ್ ಎನ್ಎಲ್ಪಿ ಪ್ರೀತಿಸುತ್ತೇನೆ"]]).toDF("text")

result = pipeline.fit(data).transform(data)
val documentAssembler = new DocumentAssembler() 
      .setInputCol("text") 
      .setOutputCol("document")
 
val tokenizer = new Tokenizer() 
    .setInputCols(Array("document"))
    .setOutputCol("token")

val embeddings = RoBertaEmbeddings.pretrained("roberta_embeddings_KanBERTo","kn") 
    .setInputCols(Array("document", "token")) 
    .setOutputCol("embeddings")

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

val data = Seq("ನಾನು ಸ್ಪಾರ್ಕ್ ಎನ್ಎಲ್ಪಿ ಪ್ರೀತಿಸುತ್ತೇನೆ").toDF("text")

val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("kn.embed.KanBERTo").predict("""ನಾನು ಸ್ಪಾರ್ಕ್ ಎನ್ಎಲ್ಪಿ ಪ್ರೀತಿಸುತ್ತೇನೆ""")

Model Information

Model Name: roberta_embeddings_KanBERTo
Compatibility: Spark NLP 3.4.2+
License: Open Source
Edition: Official
Input Labels: [sentence, token]
Output Labels: [bert]
Language: kn
Size: 314.4 MB
Case sensitive: true

References

  • https://huggingface.co/Naveen-k/KanBERTo
  • https://en.wikipedia.org/wiki/Kannada
  • https://traces1.inria.fr/oscar/files/compressed-orig/kn.txt.gz
  • https://traces1.inria.fr/oscar/