Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_notram_bert_norwegian_cased_080321_pipeline is a Norwegian model originally trained by NbAiLab.
How to use
pipeline = PretrainedPipeline("sent_notram_bert_norwegian_cased_080321_pipeline", lang = "no")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_notram_bert_norwegian_cased_080321_pipeline", lang = "no")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_notram_bert_norwegian_cased_080321_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | no |
| Size: | 663.6 MB |
References
https://huggingface.co/NbAiLab/notram-bert-norwegian-cased-080321
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings