Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mpnet_base_all_nli_triplet_turkish_v2_pipeline is a English model originally trained by mertcobanov.
How to use
pipeline = PretrainedPipeline("mpnet_base_all_nli_triplet_turkish_v2_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mpnet_base_all_nli_triplet_turkish_v2_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mpnet_base_all_nli_triplet_turkish_v2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 379.1 MB |
References
https://huggingface.co/mertcobanov/mpnet-base-all-nli-triplet-turkish-v2
Included Models
- DocumentAssembler
- MPNetEmbeddings