Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.litberta_uncased_pipeline is a Lithuanian model originally trained by jkeruotis.
How to use
pipeline = PretrainedPipeline("litberta_uncased_pipeline", lang = "lt")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("litberta_uncased_pipeline", lang = "lt")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | litberta_uncased_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | lt |
| Size: | 689.2 MB |
References
https://huggingface.co/jkeruotis/LitBERTa-uncased
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings