Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tiny_t5forconditionalgeneration_correct_vocab_calibrated_pipeline is a English model originally trained by trl-internal-testing.
How to use
pipeline = PretrainedPipeline("tiny_t5forconditionalgeneration_correct_vocab_calibrated_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tiny_t5forconditionalgeneration_correct_vocab_calibrated_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | tiny_t5forconditionalgeneration_correct_vocab_calibrated_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 12.3 MB |
References
https://huggingface.co/trl-internal-testing/tiny-T5ForConditionalGeneration-correct-vocab-calibrated
Included Models
- DocumentAssembler
- T5Transformer