Bangla DistilBERT Embeddings (from neuralspace-reverie)

Description

Pretrained DistilBERT Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. indic-transformers-bn-distilbert is a Bangla model orginally trained by neuralspace-reverie.

Download Copy S3 URI

How to use

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

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

embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_indic_transformers_bn_distilbert","bn") \
.setInputCols(["document", "token"]) \
.setOutputCol("embeddings")

pipeline = Pipeline(stages=[documentAssembler, tokenizer, embeddings])

data = spark.createDataFrame([["আমি স্পার্ক এনএলপি ভালোবাসি"]]).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 = DistilBertEmbeddings.pretrained("distilbert_embeddings_indic_transformers_bn_distilbert","bn") 
.setInputCols(Array("document", "token")) 
.setOutputCol("embeddings")

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

val data = Seq("আমি স্পার্ক এনএলপি ভালোবাসি").toDF("text")

val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("bn.embed.indic_transformers_bn_distilbert").predict("""আমি স্পার্ক এনএলপি ভালোবাসি""")

Model Information

Model Name: distilbert_embeddings_indic_transformers_bn_distilbert
Compatibility: Spark NLP 3.4.2+
License: Open Source
Edition: Official
Input Labels: [sentence, token]
Output Labels: [bert]
Language: bn
Size: 248.3 MB
Case sensitive: true

References

  • https://huggingface.co/neuralspace-reverie/indic-transformers-bn-distilbert
  • https://oscar-corpus.com/