Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mmarco_mminilmv2_l12_h384_v1_pipeline is a Multilingual model originally trained by cross-encoder.
How to use
pipeline = PretrainedPipeline("mmarco_mminilmv2_l12_h384_v1_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mmarco_mminilmv2_l12_h384_v1_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mmarco_mminilmv2_l12_h384_v1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 399.6 MB |
References
https://huggingface.co/cross-encoder/mmarco-mMiniLMv2-L12-H384-v1
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification