Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.g_sciedbert_pipeline
is a German model originally trained by ai4stem-uga.
How to use
pipeline = PretrainedPipeline("g_sciedbert_pipeline", lang = "de")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("g_sciedbert_pipeline", lang = "de")
val annotations = pipeline.transform(df)
Model Information
Model Name: | g_sciedbert_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | de |
Size: | 409.1 MB |
References
https://huggingface.co/ai4stem-uga/G-SciEdBERT
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification