Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.azerbaijani_spell_corrector_pipeline is a Azerbaijani model originally trained by LocalDoc.
How to use
pipeline = PretrainedPipeline("azerbaijani_spell_corrector_pipeline", lang = "az")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("azerbaijani_spell_corrector_pipeline", lang = "az")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | azerbaijani_spell_corrector_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | az |
| Size: | 1.3 GB |
References
https://huggingface.co/LocalDoc/azerbaijani_spell_corrector
Included Models
- DocumentAssembler
- T5Transformer