Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.address_emnet_pipeline is a English model originally trained by pawan2411.
How to use
pipeline = PretrainedPipeline("address_emnet_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("address_emnet_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | address_emnet_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 390.5 MB |
References
https://huggingface.co/pawan2411/address-emnet
Included Models
- DocumentAssembler
- MPNetEmbeddings