English bert_base_uncased_contracts_pipeline pipeline BertEmbeddings from nlpaueb

Description

Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_base_uncased_contracts_pipeline is a English model originally trained by nlpaueb.

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How to use


pipeline = PretrainedPipeline("bert_base_uncased_contracts_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("bert_base_uncased_contracts_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: bert_base_uncased_contracts_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 407.1 MB

References

https://huggingface.co/nlpaueb/bert-base-uncased-contracts

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertEmbeddings