Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.t5_small_med_term_conditional_masking_pipeline is a English model originally trained by gayanin.
How to use
pipeline = PretrainedPipeline("t5_small_med_term_conditional_masking_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("t5_small_med_term_conditional_masking_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | t5_small_med_term_conditional_masking_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 346.1 MB |
References
https://huggingface.co/gayanin/t5-small-med-term-conditional-masking
Included Models
- DocumentAssembler
- T5Transformer