English game_content_safety_pipeline pipeline XlmRoBertaForSequenceClassification from BrightXiaoHan

Description

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

Download Copy S3 URI

How to use


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


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

Model Information

Model Name: game_content_safety_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 861.6 MB

References

https://huggingface.co/BrightXiaoHan/game-content-safety

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaForSequenceClassification