Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sentencetransformer_ft_pipeline
is a English model originally trained by Saideepthi55.
How to use
pipeline = PretrainedPipeline("sentencetransformer_ft_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sentencetransformer_ft_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | sentencetransformer_ft_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 400.6 MB |
References
https://huggingface.co/Saideepthi55/sentencetransformer-ft
Included Models
- DocumentAssembler
- MPNetEmbeddings