Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.russian_summarization_lenta_model_mt5_base_7_epochs_1024_pipeline
is a English model originally trained by i-k-a.
How to use
pipeline = PretrainedPipeline("russian_summarization_lenta_model_mt5_base_7_epochs_1024_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("russian_summarization_lenta_model_mt5_base_7_epochs_1024_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | russian_summarization_lenta_model_mt5_base_7_epochs_1024_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.4.2+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 2.3 GB |
References
https://huggingface.co/i-k-a/ru_summarization_lenta_model_mt5-base_7_epochs_1024
Included Models
- DocumentAssembler
- T5Transformer