Description
Pretrained XlmRoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.estroberta_pipeline is a Estonian model originally trained by tartuNLP.
How to use
pipeline = PretrainedPipeline("estroberta_pipeline", lang = "et")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("estroberta_pipeline", lang = "et")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | estroberta_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | et |
| Size: | 1.0 GB |
References
https://huggingface.co/tartuNLP/EstRoBERTa
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaEmbeddings