Description
Pretrained BertForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.scandi_nli_large_pipeline is a Danish model originally trained by alexandrainst.
How to use
pipeline = PretrainedPipeline("scandi_nli_large_pipeline", lang = "da")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("scandi_nli_large_pipeline", lang = "da")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | scandi_nli_large_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | da |
| Size: | 1.3 GB |
References
https://huggingface.co/alexandrainst/scandi-nli-large
Included Models
- DocumentAssembler
- TokenizerModel
- BertForZeroShotClassification