Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multi_qa_mpnet_base_dot_v1_wikipedia_search_pipeline is a English model originally trained by legacy107.
How to use
pipeline = PretrainedPipeline("multi_qa_mpnet_base_dot_v1_wikipedia_search_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("multi_qa_mpnet_base_dot_v1_wikipedia_search_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | multi_qa_mpnet_base_dot_v1_wikipedia_search_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 407.1 MB |
References
https://huggingface.co/legacy107/multi-qa-mpnet-base-dot-v1-wikipedia-search
Included Models
- DocumentAssembler
- MPNetEmbeddings