Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.rut5_base_sum_gazeta_finetuned_habr_v2_5_pipeline is a English model originally trained by jd-salinger.
How to use
pipeline = PretrainedPipeline("rut5_base_sum_gazeta_finetuned_habr_v2_5_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("rut5_base_sum_gazeta_finetuned_habr_v2_5_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | rut5_base_sum_gazeta_finetuned_habr_v2_5_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 998.6 MB |
References
https://huggingface.co/jd-salinger/rut5_base_sum_gazeta-finetuned-habr-v2.5
Included Models
- DocumentAssembler
- T5Transformer