Marathi Bert Embeddings (from monsoon-nlp)

Description

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") \
.setOutputCol("document")

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

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

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

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

result = pipeline.fit(data).transform(data)

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

References

https://huggingface.co/monsoon-nlp/muril-adapted-local
https://tfhub.dev/google/MuRIL/1

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