Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ncbi_disease_wlt_256_scibert_13isns_pipeline is a English model originally trained by mobashgr.
How to use
pipeline = PretrainedPipeline("ncbi_disease_wlt_256_scibert_13isns_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ncbi_disease_wlt_256_scibert_13isns_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ncbi_disease_wlt_256_scibert_13isns_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 410.0 MB |
References
https://huggingface.co/mobashgr/NCBI-disease-WLT-256-SciBERT-13ISNS
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification