Description
Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_entitycs_39_wep_xlmr_base_pipeline is a Multilingual model originally trained by huawei-noah.
How to use
pipeline = PretrainedPipeline("sent_entitycs_39_wep_xlmr_base_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_entitycs_39_wep_xlmr_base_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_entitycs_39_wep_xlmr_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 945.4 MB |
References
https://huggingface.co/huawei-noah/EntityCS-39-WEP-xlmr-base
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- XlmRoBertaSentenceEmbeddings