Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.confidence_bert_base_uncased_loss_crossentropy_bin_0_12345_pipeline is a English model originally trained by kevinr.
How to use
pipeline = PretrainedPipeline("confidence_bert_base_uncased_loss_crossentropy_bin_0_12345_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("confidence_bert_base_uncased_loss_crossentropy_bin_0_12345_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | confidence_bert_base_uncased_loss_crossentropy_bin_0_12345_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 409.4 MB |
References
https://huggingface.co/kevinr/Confidence-bert-base-uncased-Loss_CrossEntropy-Bin_0-12345
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification