Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mroberta_pipeline
is a Multilingual model originally trained by BSC-LT.
How to use
pipeline = PretrainedPipeline("mroberta_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mroberta_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
Model Name: | mroberta_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | xx |
Size: | 553.2 MB |
References
https://huggingface.co/BSC-LT/mRoBERTa
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings