Description
Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.upsc_classification_model_v1_pipeline is a English model originally trained by kowshik.
How to use
pipeline = PretrainedPipeline("upsc_classification_model_v1_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("upsc_classification_model_v1_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | upsc_classification_model_v1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 406.9 MB |
References
https://huggingface.co/kowshik/upsc-classification-model-v1
Included Models
- DocumentAssembler
- MPNetEmbeddings