Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709_pipeline
is a English model originally trained by samaksh-khatri-crest-data.
How to use
pipeline = PretrainedPipeline("gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | gmra_model_distilbert_base_uncased_distilled_squad_17082023t171709_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 249.4 MB |
References
https://huggingface.co/samaksh-khatri-crest-data/gmra_model_distilbert-base-uncased-distilled-squad_17082023T171709
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification