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  • John Snow Labs
  • Sep 21, 2024

German cagbert_base_fl32_checkpoint_15852_pipeline pipeline BertForTokenClassification from MSey

  • de
  • open_source
  • pipeline
  • onnx

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.cagbert_base_fl32_checkpoint_15852_pipeline is a German model originally trained by MSey.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("cagbert_base_fl32_checkpoint_15852_pipeline", lang = "de")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("cagbert_base_fl32_checkpoint_15852_pipeline", lang = "de")
val annotations = pipeline.transform(df)

Model Information

Model Name: cagbert_base_fl32_checkpoint_15852_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: de
Size: 409.8 MB

References

https://huggingface.co/MSey/CaGBERT-base_fl32_checkpoint-15852

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification