Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.pro_berta_pipeline is a None model originally trained by donal.
How to use
pipeline = PretrainedPipeline("pro_berta_pipeline", lang = "nan")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("pro_berta_pipeline", lang = "nan")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | pro_berta_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | nan |
| Size: | 310.0 MB |
References
https://huggingface.co/donal/Pro_Berta
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings