Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.laberta_pipeline is a Latin model originally trained by bowphs.
How to use
pipeline = PretrainedPipeline("laberta_pipeline", lang = "la")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("laberta_pipeline", lang = "la")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | laberta_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | la |
| Size: | 469.8 MB |
References
https://huggingface.co/bowphs/LaBerta
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings