Description
Pretrained CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sloberta_pipeline is a Slovenian model originally trained by EMBEDDIA.
Predicted Entities
How to use
pipeline = PretrainedPipeline("sloberta_pipeline", lang = "sl")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sloberta_pipeline", lang = "sl")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sloberta_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | sl |
| Size: | 263.5 MB |
References
References
https://huggingface.co/EMBEDDIA/sloberta
Included Models
- DocumentAssembler
- TokenizerModel
- CamemBertEmbeddings