Description
Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_ewondo_xlm_roberta_base_pipeline is a None model originally trained by ELRs.
How to use
pipeline = PretrainedPipeline("sent_ewondo_xlm_roberta_base_pipeline", lang = "nan")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_ewondo_xlm_roberta_base_pipeline", lang = "nan")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_ewondo_xlm_roberta_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | nan |
| Size: | 1.0 GB |
References
https://huggingface.co/ELRs/Ewondo_xlm-roberta-base
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- XlmRoBertaSentenceEmbeddings