Description
Pretrained BartTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_dataset_english_5_mini_1_50_truncate_1076038122_pipeline is a English model originally trained by scaccomatto.
How to use
pipeline = PretrainedPipeline("autotrain_dataset_english_5_mini_1_50_truncate_1076038122_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_dataset_english_5_mini_1_50_truncate_1076038122_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | autotrain_dataset_english_5_mini_1_50_truncate_1076038122_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.9 GB |
References
https://huggingface.co/scaccomatto/autotrain-dataset-en-5-mini-1-50-truncate-1076038122
Included Models
- DocumentAssembler
- BartTransformer