Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.trotr_multi_qa_mpnet_base_cos_v1_pipeline
is a English model originally trained by FrancescoPeriti.
How to use
pipeline = PretrainedPipeline("trotr_multi_qa_mpnet_base_cos_v1_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("trotr_multi_qa_mpnet_base_cos_v1_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | trotr_multi_qa_mpnet_base_cos_v1_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 406.8 MB |
References
https://huggingface.co/FrancescoPeriti/TRoTR-multi-qa-mpnet-base-cos-v1
Included Models
- DocumentAssembler
- MPNetEmbeddings