Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.jwt300_maltese_italian_tonga_tonga_islands_spanish_transformers_pipeline is a Italian model originally trained by frtna.
How to use
pipeline = PretrainedPipeline("jwt300_maltese_italian_tonga_tonga_islands_spanish_transformers_pipeline", lang = "it")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("jwt300_maltese_italian_tonga_tonga_islands_spanish_transformers_pipeline", lang = "it")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | jwt300_maltese_italian_tonga_tonga_islands_spanish_transformers_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | it |
| Size: | 327.4 MB |
References
https://huggingface.co/frtna/jwt300_mt-Italian-to-Spanish_transformers
Included Models
- DocumentAssembler
- T5Transformer