Marathi Bert Embeddings (from monsoon-nlp)


Pretrained Bert Embeddings model, uploaded to Hugging Face, adapted and imported into Spark NLP. muril-adapted-local is a Marathi model orginally trained by monsoon-nlp.

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How to use

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

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

embeddings = BertEmbeddings.pretrained("bert_embeddings_muril_adapted_local","mr") \
.setInputCols(["document", "token"]) \

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

data = spark.createDataFrame([["मला स्पार्क एनएलपी आवडते"]]).toDF("text")

result =
val documentAssembler = new DocumentAssembler() 

val tokenizer = new Tokenizer() 

val embeddings = BertEmbeddings.pretrained("bert_embeddings_muril_adapted_local","mr") 
.setInputCols(Array("document", "token")) 

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

val data = Seq("मला स्पार्क एनएलपी आवडते").toDF("text")

val result =
import nlu
nlu.load("mr.embed.muril_adapted_local").predict("""मला स्पार्क एनएलपी आवडते""")

Model Information

Model Name: bert_embeddings_muril_adapted_local
Compatibility: Spark NLP 3.4.2+
License: Open Source
Edition: Official
Input Labels: [sentence, token]
Output Labels: [bert]
Language: mr
Size: 888.7 MB
Case sensitive: true