Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multi_news_train_800_t5_small_summary_model_pipeline is a English model originally trained by AlexandraSnelling.
How to use
pipeline = PretrainedPipeline("multi_news_train_800_t5_small_summary_model_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("multi_news_train_800_t5_small_summary_model_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | multi_news_train_800_t5_small_summary_model_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 327.1 MB |
References
https://huggingface.co/AlexandraSnelling/multi_news_train_800_t5-small_summary_model
Included Models
- DocumentAssembler
- T5Transformer