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  • John Snow Labs
  • Dec 16, 2024

English feature_extraction_model_damage_trigger_effect_location_naacl_2025_pipeline pipeline BertForTokenClassification from Lolimorimorf

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.feature_extraction_model_damage_trigger_effect_location_naacl_2025_pipeline is a English model originally trained by Lolimorimorf.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("feature_extraction_model_damage_trigger_effect_location_naacl_2025_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("feature_extraction_model_damage_trigger_effect_location_naacl_2025_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: feature_extraction_model_damage_trigger_effect_location_naacl_2025_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 664.3 MB

References

https://huggingface.co/Lolimorimorf/feature_extraction_model_damage_trigger_effect_location_naacl_2025

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification