Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bc4chemd_original_128_pubmedbert_trial_latest_general_pipeline is a English model originally trained by ghadeermobasher.
How to use
pipeline = PretrainedPipeline("bc4chemd_original_128_pubmedbert_trial_latest_general_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bc4chemd_original_128_pubmedbert_trial_latest_general_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bc4chemd_original_128_pubmedbert_trial_latest_general_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 408.1 MB |
References
https://huggingface.co/ghadeermobasher/BC4CHEMD-Original-128-PubMedBERT-Trial-latest-general
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification