Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.psais_multi_qa_mpnet_base_dot_v1_50shot_pipeline is a English model originally trained by hroth01.
How to use
pipeline = PretrainedPipeline("psais_multi_qa_mpnet_base_dot_v1_50shot_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("psais_multi_qa_mpnet_base_dot_v1_50shot_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | psais_multi_qa_mpnet_base_dot_v1_50shot_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 407.0 MB |
References
https://huggingface.co/hroth01/psais-multi-qa-mpnet-base-dot-v1-50shot
Included Models
- DocumentAssembler
- MPNetEmbeddings