Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tiny_random_t5forconditionalgeneration_hf_tiny_model_private_pipeline is a English model originally trained by hf-tiny-model-private.
How to use
pipeline = PretrainedPipeline("tiny_random_t5forconditionalgeneration_hf_tiny_model_private_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tiny_random_t5forconditionalgeneration_hf_tiny_model_private_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | tiny_random_t5forconditionalgeneration_hf_tiny_model_private_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 12.3 MB |
References
https://huggingface.co/hf-tiny-model-private/tiny-random-T5ForConditionalGeneration
Included Models
- DocumentAssembler
- T5Transformer