Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ate_turkmen_instruct_base_def_sayula_popoluca_combined_pipeline is a English model originally trained by kevinscaria.
How to use
pipeline = PretrainedPipeline("ate_turkmen_instruct_base_def_sayula_popoluca_combined_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ate_turkmen_instruct_base_def_sayula_popoluca_combined_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ate_turkmen_instruct_base_def_sayula_popoluca_combined_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 952.1 MB |
References
https://huggingface.co/kevinscaria/ate_tk-instruct-base-def-pos-combined
Included Models
- DocumentAssembler
- T5Transformer