Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.google_mt5_base_deysi_traduction_chinese_sp_pipeline is a Castilian, Spanish model originally trained by Deysi.
How to use
pipeline = PretrainedPipeline("google_mt5_base_deysi_traduction_chinese_sp_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("google_mt5_base_deysi_traduction_chinese_sp_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | google_mt5_base_deysi_traduction_chinese_sp_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
| Size: | 2.3 GB |
References
https://huggingface.co/Deysi/google-mt5-base-deysi-traduction-zh-sp
Included Models
- DocumentAssembler
- T5Transformer