Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.product_name_ner_model_pipeline is a Chinese model originally trained by clw8998.
How to use
pipeline = PretrainedPipeline("product_name_ner_model_pipeline", lang = "zh")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("product_name_ner_model_pipeline", lang = "zh")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | product_name_ner_model_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | zh |
| Size: | 142.0 MB |
References
https://huggingface.co/clw8998/Product-Name-NER-model
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification