Description
Pretrained BartTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.facebook_bart_finetuned_iswlt2017_english_tonga_tonga_islands_french_pipeline is a English model originally trained by emath.
How to use
pipeline = PretrainedPipeline("facebook_bart_finetuned_iswlt2017_english_tonga_tonga_islands_french_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("facebook_bart_finetuned_iswlt2017_english_tonga_tonga_islands_french_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | facebook_bart_finetuned_iswlt2017_english_tonga_tonga_islands_french_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 809.7 MB |
References
https://huggingface.co/emath/facebook-bart-finetuned-iswlt2017-en-to-fr
Included Models
- DocumentAssembler
- BartTransformer