Description
Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline is a English model originally trained by baileyk.
How to use
pipeline = PretrainedPipeline("nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 111.5 MB |
References
https://huggingface.co/baileyk/nreimers_MiniLMv2-L6-H384-distilled-from-RoBERTa-Large
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForTokenClassification