Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.distilbert_sql_timeout_classifier_with_trained_tokenizer_pipeline is a English model originally trained by Lifehouse.
How to use
pipeline = PretrainedPipeline("distilbert_sql_timeout_classifier_with_trained_tokenizer_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("distilbert_sql_timeout_classifier_with_trained_tokenizer_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | distilbert_sql_timeout_classifier_with_trained_tokenizer_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 267.0 MB |
References
https://huggingface.co/Lifehouse/distilbert-sql-timeout-classifier-with-trained-tokenizer
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification