Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sinhala_semantic_textual_similarity_sinbert_small_pipeline is a English model originally trained by sinhala-nlp.
How to use
pipeline = PretrainedPipeline("sinhala_semantic_textual_similarity_sinbert_small_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sinhala_semantic_textual_similarity_sinbert_small_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sinhala_semantic_textual_similarity_sinbert_small_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 249.4 MB |
References
https://huggingface.co/sinhala-nlp/sinhala-semantic-textual-similarity-sinbert-small
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification