Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.t5_mengzi_base_chinese_correction_pipeline
is a Chinese model originally trained by shibing624.
How to use
pipeline = PretrainedPipeline("t5_mengzi_base_chinese_correction_pipeline", lang = "zh")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("t5_mengzi_base_chinese_correction_pipeline", lang = "zh")
val annotations = pipeline.transform(df)
Model Information
Model Name: | t5_mengzi_base_chinese_correction_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.4.2+ |
License: | Open Source |
Edition: | Official |
Language: | zh |
Size: | 1.0 GB |
References
https://huggingface.co/shibing624/mengzi-t5-base-chinese-correction
Included Models
- DocumentAssembler
- T5Transformer