Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.spanish_spellchecker_mt5_base_3e_pipeline is a Castilian, Spanish model originally trained by jorgeortizfuentes.
How to use
pipeline = PretrainedPipeline("spanish_spellchecker_mt5_base_3e_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("spanish_spellchecker_mt5_base_3e_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | spanish_spellchecker_mt5_base_3e_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
| Size: | 2.6 GB |
References
https://huggingface.co/jorgeortizfuentes/spanish-spellchecker-mt5-base_3e
Included Models
- DocumentAssembler
- T5Transformer