Bulgarian bert_bulgarian_lit_web_base_uncased_pipeline pipeline BertEmbeddings from AIaLT-IICT

Description

Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_bulgarian_lit_web_base_uncased_pipeline is a Bulgarian model originally trained by AIaLT-IICT.

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How to use


pipeline = PretrainedPipeline("bert_bulgarian_lit_web_base_uncased_pipeline", lang = "bg")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("bert_bulgarian_lit_web_base_uncased_pipeline", lang = "bg")
val annotations = pipeline.transform(df)

Model Information

Model Name: bert_bulgarian_lit_web_base_uncased_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: bg
Size: 465.0 MB

References

https://huggingface.co/AIaLT-IICT/bert_bg_lit_web_base_uncased

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertEmbeddings