Description
The BGE embedding model was trained on a mix of different datasets. We used public data and in-house annotated documents.
Predicted Entities
How to use
embeddings = nlp.BGEEmbeddings.pretrained("finance_bge_base_embeddings","en","finance/models")\
.setInputCols("document")\
.setOutputCol("embeddings")
Model Information
| Model Name: | finance_bge_base_embeddings |
| Compatibility: | Finance NLP 1.0.0+ |
| License: | Licensed |
| Edition: | Official |
| Input Labels: | [document] |
| Output Labels: | [sentence_embeddings] |
| Language: | en |
| Size: | 400.6 MB |
References
Public data and in-house annotated documents