Arabic camelbert_msa_qalb15_ged_13_pipeline pipeline BertForTokenClassification from CAMeL-Lab

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.camelbert_msa_qalb15_ged_13_pipeline is a Arabic model originally trained by CAMeL-Lab.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("camelbert_msa_qalb15_ged_13_pipeline", lang = "ar")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("camelbert_msa_qalb15_ged_13_pipeline", lang = "ar")
val annotations = pipeline.transform(df)

Model Information

Model Name: camelbert_msa_qalb15_ged_13_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: ar
Size: 406.4 MB

References

https://huggingface.co/CAMeL-Lab/camelbert-msa-qalb15-ged-13

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification