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  • John Snow Labs
  • Sep 23, 2024

Multilingual bert_base_multilingual_cased_ner_hrl_nttaii_pipeline pipeline BertForTokenClassification from nttaii

  • xx
  • open_source
  • pipeline
  • onnx

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_base_multilingual_cased_ner_hrl_nttaii_pipeline is a Multilingual model originally trained by nttaii.

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How to use


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



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

Model Information

Model Name: bert_base_multilingual_cased_ner_hrl_nttaii_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: xx
Size: 665.3 MB

References

https://huggingface.co/nttaii/bert-base-multilingual-cased-ner-hrl

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification