German gbert_large_zeroshot_nli_pipeline pipeline BertForZeroShotClassification from svalabs

Description

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

Download Copy S3 URI

How to use


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


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

Model Information

Model Name: gbert_large_zeroshot_nli_pipeline
Type: pipeline
Compatibility: Spark NLP 5.4.2+
License: Open Source
Edition: Official
Language: de
Size: 1.3 GB

References

https://huggingface.co/svalabs/gbert-large-zeroshot-nli

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForZeroShotClassification