Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.gottbert_base_last_pipeline
is a German model originally trained by TUM.
How to use
pipeline = PretrainedPipeline("gottbert_base_last_pipeline", lang = "de")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("gottbert_base_last_pipeline", lang = "de")
val annotations = pipeline.transform(df)
Model Information
Model Name: | gottbert_base_last_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | de |
Size: | 470.7 MB |
References
https://huggingface.co/TUM/GottBERT_base_last
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings