Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ote_dapt_camel_msa_hard_6580subsample_run1_pipeline is a English model originally trained by salohnana2018.
How to use
pipeline = PretrainedPipeline("ote_dapt_camel_msa_hard_6580subsample_run1_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ote_dapt_camel_msa_hard_6580subsample_run1_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ote_dapt_camel_msa_hard_6580subsample_run1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 406.4 MB |
References
https://huggingface.co/salohnana2018/OTE-DAPT-CAMEL-MSA-HARD-6580SUBSAMPLE-run1
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification