Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_base_catalan_bsc_lt_pipeline is a Catalan, Valencian model originally trained by BSC-LT.
How to use
pipeline = PretrainedPipeline("roberta_base_catalan_bsc_lt_pipeline", lang = "ca")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_base_catalan_bsc_lt_pipeline", lang = "ca")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_base_catalan_bsc_lt_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ca |
| Size: | 297.8 MB |
References
https://huggingface.co/BSC-LT/roberta-base-ca
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings