Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.cve2cpe_bert_with_classification_report_pipeline is a English model originally trained by WYHu.
How to use
pipeline = PretrainedPipeline("cve2cpe_bert_with_classification_report_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("cve2cpe_bert_with_classification_report_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | cve2cpe_bert_with_classification_report_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 403.7 MB |
References
https://huggingface.co/WYHu/cve2cpe_bert_with_classification_report
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification