Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.schwurpert_pipeline is a German model originally trained by ausgerechnet.
How to use
pipeline = PretrainedPipeline("schwurpert_pipeline", lang = "de")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("schwurpert_pipeline", lang = "de")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | schwurpert_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | de |
| Size: | 1.3 GB |
References
https://huggingface.co/ausgerechnet/schwurpert
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings