Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.julibert_pipeline is a Catalan, Valencian model originally trained by softcatala.
How to use
pipeline = PretrainedPipeline("julibert_pipeline", lang = "ca")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("julibert_pipeline", lang = "ca")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | julibert_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ca |
| Size: | 465.8 MB |
References
https://huggingface.co/softcatala/julibert
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings