Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.uzroberta_v2_pipeline is a Uzbek model originally trained by sinonimayzer.
How to use
pipeline = PretrainedPipeline("uzroberta_v2_pipeline", lang = "uz")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("uzroberta_v2_pipeline", lang = "uz")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | uzroberta_v2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | uz |
| Size: | 471.0 MB |
References
https://huggingface.co/sinonimayzer/UzRoBERTa-v2
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings