Description
Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_dialectal_arabic_xlm_r_base_pipeline is a Multilingual model originally trained by 3ebdola.
How to use
pipeline = PretrainedPipeline("sent_dialectal_arabic_xlm_r_base_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_dialectal_arabic_xlm_r_base_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_dialectal_arabic_xlm_r_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 1.0 GB |
References
https://huggingface.co/3ebdola/Dialectal-Arabic-XLM-R-Base
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- XlmRoBertaSentenceEmbeddings