Multilingual bert_base_multilingual_cased_google_bert_pipeline pipeline BertEmbeddings from google-bert

Description

Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_base_multilingual_cased_google_bert_pipeline is a Multilingual model originally trained by google-bert.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("bert_base_multilingual_cased_google_bert_pipeline", lang = "xx")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("bert_base_multilingual_cased_google_bert_pipeline", lang = "xx")
val annotations = pipeline.transform(df)

Model Information

Model Name: bert_base_multilingual_cased_google_bert_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: xx
Size: 665.1 MB

References

https://huggingface.co/google-bert/bert-base-multilingual-cased

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertEmbeddings