Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.t5_small_finetuned_webnlg_maltese_2_0e_04_pipeline
is a English model originally trained by vente.
How to use
pipeline = PretrainedPipeline("t5_small_finetuned_webnlg_maltese_2_0e_04_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("t5_small_finetuned_webnlg_maltese_2_0e_04_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | t5_small_finetuned_webnlg_maltese_2_0e_04_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.4.2+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 346.3 MB |
References
https://huggingface.co/vente/t5-small-finetuned-webnlg-mt-2.0e-04
Included Models
- DocumentAssembler
- T5Transformer