Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.taigi_english_t5_small_experiment_pipeline
is a None model originally trained by sngsng.
How to use
pipeline = PretrainedPipeline("taigi_english_t5_small_experiment_pipeline", lang = "nan")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("taigi_english_t5_small_experiment_pipeline", lang = "nan")
val annotations = pipeline.transform(df)
Model Information
Model Name: | taigi_english_t5_small_experiment_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.4.2+ |
License: | Open Source |
Edition: | Official |
Language: | nan |
Size: | 347.3 MB |
References
https://huggingface.co/sngsng/Taigi-En_t5-small-experiment
Included Models
- DocumentAssembler
- T5Transformer