Description
Pretrained XlmRoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.gujarati_xlm_r_base_pipeline is a Gujarati model originally trained by ashwani-tanwar.
How to use
pipeline = PretrainedPipeline("gujarati_xlm_r_base_pipeline", lang = "gu")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("gujarati_xlm_r_base_pipeline", lang = "gu")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | gujarati_xlm_r_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | gu |
| Size: | 653.1 MB |
References
https://huggingface.co/ashwani-tanwar/Gujarati-XLM-R-Base
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaEmbeddings