Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bc4chemd_wlt_384_pubmedbert_trial_latest_ins_20_pipeline is a English model originally trained by mobashgr.
How to use
pipeline = PretrainedPipeline("bc4chemd_wlt_384_pubmedbert_trial_latest_ins_20_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bc4chemd_wlt_384_pubmedbert_trial_latest_ins_20_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bc4chemd_wlt_384_pubmedbert_trial_latest_ins_20_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 408.0 MB |
References
https://huggingface.co/mobashgr/BC4CHEMD-WLT-384-PubMedBERT-Trial-latest-ins-20
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification