Description
Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_zabantu_sot_ven_170m_pipeline is a Venda model originally trained by dsfsi.
How to use
pipeline = PretrainedPipeline("sent_zabantu_sot_ven_170m_pipeline", lang = "ve")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_zabantu_sot_ven_170m_pipeline", lang = "ve")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_zabantu_sot_ven_170m_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ve |
| Size: | 647.0 MB |
References
https://huggingface.co/dsfsi/zabantu-sot-ven-170m
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- XlmRoBertaSentenceEmbeddings