Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.cryptobert_base_all_finetuned_pipeline is a English model originally trained by totoro4007.
How to use
pipeline = PretrainedPipeline("cryptobert_base_all_finetuned_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("cryptobert_base_all_finetuned_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | cryptobert_base_all_finetuned_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 472.5 MB |
References
https://huggingface.co/totoro4007/cryptobert-base-all-finetuned
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification