Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.slm_custom_model_5_2k_pipeline
is a English model originally trained by karthikeyan-r.
How to use
pipeline = PretrainedPipeline("slm_custom_model_5_2k_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("slm_custom_model_5_2k_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | slm_custom_model_5_2k_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 277.5 MB |
References
https://huggingface.co/karthikeyan-r/slm-custom-model_5_2K
Included Models
- DocumentAssembler
- T5Transformer