Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.crossencoder_mminilmv2_l12_mmarcofr_pipeline is a French model originally trained by antoinelouis.
How to use
pipeline = PretrainedPipeline("crossencoder_mminilmv2_l12_mmarcofr_pipeline", lang = "fr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("crossencoder_mminilmv2_l12_mmarcofr_pipeline", lang = "fr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | crossencoder_mminilmv2_l12_mmarcofr_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | fr |
| Size: | 356.8 MB |
References
https://huggingface.co/antoinelouis/crossencoder-mMiniLMv2-L12-mmarcoFR
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification