English xlm_roberta_base_finetuned_panx_korean_pipeline pipeline XlmRoBertaForTokenClassification from sungkwangjoong

Description

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

Predicted Entities

Download Copy S3 URI

How to use

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

Model Information

Model Name: xlm_roberta_base_finetuned_panx_korean_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 808.7 MB

References

References

https://huggingface.co/sungkwangjoong/xlm-roberta-base-finetuned-panx-ko

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaForTokenClassification