Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.579_private_v3_pipeline is a English model originally trained by jpcompartir.
How to use
pipeline = PretrainedPipeline("579_private_v3_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("579_private_v3_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | 579_private_v3_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 407.3 MB |
References
https://huggingface.co/jpcompartir/579-private-v3
Included Models
- DocumentAssembler
- MPNetEmbeddings