Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.movie_title_ocr_corrector_t5_pipeline
is a English model originally trained by yashvoladoddi37.
How to use
pipeline = PretrainedPipeline("movie_title_ocr_corrector_t5_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("movie_title_ocr_corrector_t5_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | movie_title_ocr_corrector_t5_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 917.6 MB |
References
https://huggingface.co/yashvoladoddi37/movie-title-OCR-corrector-t5
Included Models
- DocumentAssembler
- T5Transformer