English ner_test_bert_base_uncased_finetuned_500k_5_epoch_pipeline pipeline BertForTokenClassification from adambuttrick

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ner_test_bert_base_uncased_finetuned_500k_5_epoch_pipeline is a English model originally trained by adambuttrick.

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How to use


pipeline = PretrainedPipeline("ner_test_bert_base_uncased_finetuned_500k_5_epoch_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("ner_test_bert_base_uncased_finetuned_500k_5_epoch_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: ner_test_bert_base_uncased_finetuned_500k_5_epoch_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 407.2 MB

References

https://huggingface.co/adambuttrick/ner-test-bert-base-uncased-finetuned-500K-5-epoch

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification