Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mpnet_base_nq_prompts_noschedule_lr2e_5_pipeline
is a English model originally trained by din0s.
How to use
pipeline = PretrainedPipeline("mpnet_base_nq_prompts_noschedule_lr2e_5_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mpnet_base_nq_prompts_noschedule_lr2e_5_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | mpnet_base_nq_prompts_noschedule_lr2e_5_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 406.6 MB |
References
https://huggingface.co/din0s/mpnet-base-nq-prompts-noschedule-lr2e-5
Included Models
- DocumentAssembler
- MPNetEmbeddings