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_v2","en") \ .setInputCols(["documents"]) \ .setOutputCol("instructor") pipeline = Pipeline().setStages([document_assembler, embeddings]) val embeddings = E5Embeddings.pretrained("e5_small_v2","en") .setInputCols(["document"]) .setOutputCol("e5_embeddings") val pipeline = new Pipeline().setStages(Array(document, embeddings)) Model Information
| Model Name: | e5_small_v2 |
| Compatibility: | Spark NLP 5.0.0+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [documents] |
| Output Labels: | [e5] |
| Language: | en |
| Size: | 80.9 MB |
References
https://huggingface.co/intfloat/e5-small-v2