Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.memo_bert_wsd_old_pipeline is a Danish model originally trained by yemen2016.
How to use
pipeline = PretrainedPipeline("memo_bert_wsd_old_pipeline", lang = "da")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("memo_bert_wsd_old_pipeline", lang = "da")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | memo_bert_wsd_old_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | da |
| Size: | 410.3 MB |
References
https://huggingface.co/yemen2016/MeMo-BERT-WSD_old
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification