Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.flan_t5_small_conditional_translation_me_english_me_pipeline is a English model originally trained by zuko2.
How to use
pipeline = PretrainedPipeline("flan_t5_small_conditional_translation_me_english_me_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("flan_t5_small_conditional_translation_me_english_me_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | flan_t5_small_conditional_translation_me_english_me_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 349.8 MB |
References
https://huggingface.co/zuko2/flan-t5-small-conditional-translation-me-en-me
Included Models
- DocumentAssembler
- T5Transformer