Description
Pretrained XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_mminilmv2_l6_h384_distilled_from_xlmr_large_enod_pipeline is a English model originally trained by enod.
How to use
pipeline = PretrainedPipeline("sent_mminilmv2_l6_h384_distilled_from_xlmr_large_enod_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_mminilmv2_l6_h384_distilled_from_xlmr_large_enod_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_mminilmv2_l6_h384_distilled_from_xlmr_large_enod_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 257.9 MB |
References
https://huggingface.co/enod/mMiniLMv2-L6-H384-distilled-from-XLMR-Large
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- XlmRoBertaSentenceEmbeddings