Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_base_uncased_ibm_argq_30k_finetuned_convincingness_acl2016_pipeline is a English model originally trained by jakub014.
How to use
pipeline = PretrainedPipeline("bert_base_uncased_ibm_argq_30k_finetuned_convincingness_acl2016_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_base_uncased_ibm_argq_30k_finetuned_convincingness_acl2016_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_base_uncased_ibm_argq_30k_finetuned_convincingness_acl2016_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 409.4 MB |
References
https://huggingface.co/jakub014/bert-base-uncased-IBM-argQ-30k-finetuned-convincingness-acl2016
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification