Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.t5_kbd_lat_char_tokenizer_pipeline is a Russian model originally trained by anzorq.
How to use
pipeline = PretrainedPipeline("t5_kbd_lat_char_tokenizer_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("t5_kbd_lat_char_tokenizer_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | t5_kbd_lat_char_tokenizer_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 777.0 MB |
References
https://huggingface.co/anzorq/kbd_lat-ru_char_tokenizer
Included Models
- DocumentAssembler
- T5Transformer