Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_efficient_splade_vietnamese_bt_large_query_naver_pipeline is a English model originally trained by naver.
How to use
pipeline = PretrainedPipeline("sent_efficient_splade_vietnamese_bt_large_query_naver_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_efficient_splade_vietnamese_bt_large_query_naver_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_efficient_splade_vietnamese_bt_large_query_naver_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 17.2 MB |
References
https://huggingface.co/naver/efficient-splade-VI-BT-large-query
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings