Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sbert_mpnet_base_bm25_hard_neg_pipeline is a English model originally trained by vabatista.
How to use
pipeline = PretrainedPipeline("sbert_mpnet_base_bm25_hard_neg_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sbert_mpnet_base_bm25_hard_neg_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sbert_mpnet_base_bm25_hard_neg_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 407.0 MB |
References
https://huggingface.co/vabatista/sbert-mpnet-base-bm25-hard-neg
Included Models
- DocumentAssembler
- MPNetEmbeddings