Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.all_mpnet_lr2e_7_margin_1_bosnian_32_pipeline is a English model originally trained by luiz-and-robert-thesis.
How to use
pipeline = PretrainedPipeline("all_mpnet_lr2e_7_margin_1_bosnian_32_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("all_mpnet_lr2e_7_margin_1_bosnian_32_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | all_mpnet_lr2e_7_margin_1_bosnian_32_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 406.9 MB |
References
https://huggingface.co/luiz-and-robert-thesis/all-mpnet-lr2e-7-margin-1-bs-32
Included Models
- DocumentAssembler
- MPNetEmbeddings