Description
Pretrained E5Embeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.gpl_e5_base_unsupervised_curated_2_small_pipeline is a English model originally trained by rithwik-db.
How to use
pipeline = PretrainedPipeline("gpl_e5_base_unsupervised_curated_2_small_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("gpl_e5_base_unsupervised_curated_2_small_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | gpl_e5_base_unsupervised_curated_2_small_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 388.6 MB |
References
https://huggingface.co/rithwik-db/gpl-e5-base-unsupervised-curated-2-small
Included Models
- DocumentAssembler
- E5Embeddings