Description
Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.distilbert_base_multilingual_cased_ner_demo_pipeline is a Multilingual model originally trained by Tengisbold.
How to use
pipeline = PretrainedPipeline("distilbert_base_multilingual_cased_ner_demo_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("distilbert_base_multilingual_cased_ner_demo_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | distilbert_base_multilingual_cased_ner_demo_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 505.4 MB |
References
https://huggingface.co/Tengisbold/distilbert-base-multilingual-cased-ner-demo
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForTokenClassification