Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.legal_undedup_base_v1_5__checkpoint_2_50000_pipeline is a English model originally trained by eduagarcia-temp.
How to use
pipeline = PretrainedPipeline("legal_undedup_base_v1_5__checkpoint_2_50000_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("legal_undedup_base_v1_5__checkpoint_2_50000_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | legal_undedup_base_v1_5__checkpoint_2_50000_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 296.4 MB |
References
https://huggingface.co/eduagarcia-temp/legal_undedup_base_v1_5__checkpoint_2_50000
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings