Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30_pipeline is a English model originally trained by shrinivasbjoshi.
How to use
pipeline = PretrainedPipeline("r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 407.2 MB |
References
https://huggingface.co/shrinivasbjoshi/r2-w266-setfit-mbti-multiclass-hypsearch-mpnet-nov30
Included Models
- DocumentAssembler
- MPNetEmbeddings