Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.biored_dis_wlt_512_scibert_mobashgr_pipeline is a English model originally trained by mobashgr.
How to use
pipeline = PretrainedPipeline("biored_dis_wlt_512_scibert_mobashgr_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("biored_dis_wlt_512_scibert_mobashgr_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | biored_dis_wlt_512_scibert_mobashgr_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 409.9 MB |
References
https://huggingface.co/mobashgr/BioRED-Dis-WLT-512-SciBERT
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification