Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.gut_1024_finetuned_lora_bert_base_t2t_pipeline is a English model originally trained by LiukG.
How to use
pipeline = PretrainedPipeline("gut_1024_finetuned_lora_bert_base_t2t_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("gut_1024_finetuned_lora_bert_base_t2t_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | gut_1024_finetuned_lora_bert_base_t2t_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 322.1 MB |
References
https://huggingface.co/LiukG/gut_1024-finetuned-lora-bert-base-t2t
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification