Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ag_nli_dets_sentence_similarity_v2_pipeline is a Multilingual model originally trained by abbasgolestani.
How to use
pipeline = PretrainedPipeline("ag_nli_dets_sentence_similarity_v2_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ag_nli_dets_sentence_similarity_v2_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ag_nli_dets_sentence_similarity_v2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 1.3 GB |
References
https://huggingface.co/abbasgolestani/ag-nli-DeTS-sentence-similarity-v2
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification