Description
Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022
Predicted Entities
How to use
embeddings =E5Embeddings.pretrained("e5_small","en") \
.setInputCols(["documents"]) \
.setOutputCol("instructor")
pipeline = Pipeline().setStages([document_assembler, embeddings])
val embeddings = E5Embeddings.pretrained("e5_small","en")
.setInputCols(["document"])
.setOutputCol("e5_embeddings")
val pipeline = new Pipeline().setStages(Array(document, embeddings))
Model Information
| Model Name: | e5_small |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [document] |
| Output Labels: | [E5] |
| Language: | en |
| Size: | 79.9 MB |