Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.semantic_embedding_pipeline is a English model originally trained by pawan2411.
How to use
pipeline = PretrainedPipeline("semantic_embedding_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("semantic_embedding_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | semantic_embedding_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 382.9 MB |
References
https://huggingface.co/pawan2411/semantic-embedding
Included Models
- DocumentAssembler
- MPNetEmbeddings