Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.het5_base_pipeline is a Hebrew model originally trained by imvladikon.
How to use
pipeline = PretrainedPipeline("het5_base_pipeline", lang = "he")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("het5_base_pipeline", lang = "he")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | het5_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | he |
| Size: | 511.6 MB |
References
https://huggingface.co/imvladikon/het5-base
Included Models
- DocumentAssembler
- T5Transformer