Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mt5_base_english_portuguese_msmarco_v1_pipeline is a Portuguese model originally trained by unicamp-dl.
How to use
pipeline = PretrainedPipeline("mt5_base_english_portuguese_msmarco_v1_pipeline", lang = "pt")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mt5_base_english_portuguese_msmarco_v1_pipeline", lang = "pt")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mt5_base_english_portuguese_msmarco_v1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | pt |
| Size: | 1.5 GB |
References
https://huggingface.co/unicamp-dl/mt5-base-en-pt-msmarco-v1
Included Models
- DocumentAssembler
- T5Transformer