Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.house_td_t5_small_21_pipeline is a English model originally trained by neal61.
How to use
pipeline = PretrainedPipeline("house_td_t5_small_21_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("house_td_t5_small_21_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | house_td_t5_small_21_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 345.5 MB |
References
https://huggingface.co/neal61/house-td-t5-small-21
Included Models
- DocumentAssembler
- T5Transformer