Bengali sent_bangla_bert_pipeline pipeline BertSentenceEmbeddings from Kowsher

Description

Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_bangla_bert_pipeline is a Bengali model originally trained by Kowsher.

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How to use


pipeline = PretrainedPipeline("sent_bangla_bert_pipeline", lang = "bn")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("sent_bangla_bert_pipeline", lang = "bn")
val annotations = pipeline.transform(df)

Model Information

Model Name: sent_bangla_bert_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: bn
Size: 612.7 MB

References

https://huggingface.co/Kowsher/bangla-bert

Included Models

  • DocumentAssembler
  • TokenizerModel
  • SentenceDetectorDLModel
  • BertSentenceEmbeddings