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