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  • John Snow Labs
  • Mar 28, 2025

Central Khmer, Khmer khmer_xlmr_base_sentimental_multi_label_pipeline pipeline XlmRoBertaForSequenceClassification from songhieng

  • km
  • open_source
  • pipeline
  • onnx

Description

Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.khmer_xlmr_base_sentimental_multi_label_pipeline is a Central Khmer, Khmer model originally trained by songhieng.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("khmer_xlmr_base_sentimental_multi_label_pipeline", lang = "km")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("khmer_xlmr_base_sentimental_multi_label_pipeline", lang = "km")
val annotations = pipeline.transform(df)

Model Information

Model Name: khmer_xlmr_base_sentimental_multi_label_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: km
Size: 817.1 MB

References

https://huggingface.co/songhieng/khmer-xlmr-base-sentimental-multi-label

Included Models

  • DocumentAssembler
  • TokenizerModel
  • XlmRoBertaForSequenceClassification