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  • John Snow Labs
  • Mar 29, 2025

English arabert_token_classification_araeval24_back_translation_aug_truncated_rand_pipeline pipeline BertForTokenClassification from MM2157

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.arabert_token_classification_araeval24_back_translation_aug_truncated_rand_pipeline is a English model originally trained by MM2157.

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How to use


pipeline = PretrainedPipeline("arabert_token_classification_araeval24_back_translation_aug_truncated_rand_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("arabert_token_classification_araeval24_back_translation_aug_truncated_rand_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: arabert_token_classification_araeval24_back_translation_aug_truncated_rand_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 504.7 MB

References

https://huggingface.co/MM2157/AraBERT_token_classification_AraEval24_back_translation_aug_truncated_rand

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification