Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.arabic_mpnet_base_all_nli_triplet_pipeline is a Arabic model originally trained by Omartificial-Intelligence-Space.
How to use
pipeline = PretrainedPipeline("arabic_mpnet_base_all_nli_triplet_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("arabic_mpnet_base_all_nli_triplet_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | arabic_mpnet_base_all_nli_triplet_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ar |
| Size: | 394.6 MB |
References
https://huggingface.co/Omartificial-Intelligence-Space/Arabic-mpnet-base-all-nli-triplet
Included Models
- DocumentAssembler
- MPNetEmbeddings