Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.gbert_cta_w_synth_pipeline is a German model originally trained by chaichy.
How to use
pipeline = PretrainedPipeline("gbert_cta_w_synth_pipeline", lang = "de")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("gbert_cta_w_synth_pipeline", lang = "de")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | gbert_cta_w_synth_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | de |
| Size: | 1.3 GB |
References
https://huggingface.co/chaichy/gbert-CTA-w-synth
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification