Description
Pretrained E5Embeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.e5_base_unsupervised_scifact_7233c2_pipeline is a English model originally trained by rithwik-db.
How to use
pipeline = PretrainedPipeline("e5_base_unsupervised_scifact_7233c2_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("e5_base_unsupervised_scifact_7233c2_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | e5_base_unsupervised_scifact_7233c2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 393.9 MB |
References
https://huggingface.co/rithwik-db/e5-base-unsupervised_scifact_7233c2
Included Models
- DocumentAssembler
- E5Embeddings