Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.frame_semantic_transformer_google_t5_efficient_tiny_pipeline is a English model originally trained by striebel.
How to use
pipeline = PretrainedPipeline("frame_semantic_transformer_google_t5_efficient_tiny_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("frame_semantic_transformer_google_t5_efficient_tiny_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | frame_semantic_transformer_google_t5_efficient_tiny_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 116.1 MB |
References
https://huggingface.co/striebel/frame-semantic-transformer-google-t5-efficient-tiny
Included Models
- DocumentAssembler
- T5Transformer