Multilingual frozenlast_8epoch_bert_multilingual_finetuned_cefr_ner_3000news_pipeline pipeline BertForTokenClassification from DioBot2000

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.frozenlast_8epoch_bert_multilingual_finetuned_cefr_ner_3000news_pipeline is a Multilingual model originally trained by DioBot2000.

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How to use


pipeline = PretrainedPipeline("frozenlast_8epoch_bert_multilingual_finetuned_cefr_ner_3000news_pipeline", lang = "xx")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("frozenlast_8epoch_bert_multilingual_finetuned_cefr_ner_3000news_pipeline", lang = "xx")
val annotations = pipeline.transform(df)

Model Information

Model Name: frozenlast_8epoch_bert_multilingual_finetuned_cefr_ner_3000news_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: xx
Size: 665.1 MB

References

https://huggingface.co/DioBot2000/FrozenLAST-8epoch-BERT-multilingual-finetuned-CEFR_ner-3000news

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification