Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mt5_small_nc16_10k_ptes_pipeline
is a English model originally trained by leukas.
How to use
pipeline = PretrainedPipeline("mt5_small_nc16_10k_ptes_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mt5_small_nc16_10k_ptes_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | mt5_small_nc16_10k_ptes_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.4.2+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 1.2 GB |
References
https://huggingface.co/leukas/mt5-small-nc16-10k-ptes
Included Models
- DocumentAssembler
- T5Transformer