Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mt5_base_multilingual_summarization_multilarge_czech_smesum_pipeline
is a Multilingual model originally trained by ctu-aic.
How to use
pipeline = PretrainedPipeline("mt5_base_multilingual_summarization_multilarge_czech_smesum_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mt5_base_multilingual_summarization_multilarge_czech_smesum_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
Model Name: | mt5_base_multilingual_summarization_multilarge_czech_smesum_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.4.2+ |
License: | Open Source |
Edition: | Official |
Language: | xx |
Size: | 6.0 MB |
References
https://huggingface.co/ctu-aic/mt5-base-multilingual-summarization-multilarge-cs-smesum
Included Models
- DocumentAssembler
- T5Transformer