Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.full_8epoch_bert_base_multilingual_finetuned_cefr_ner_60000news_pipeline is a Multilingual model originally trained by DioBot2000.
How to use
pipeline = PretrainedPipeline("full_8epoch_bert_base_multilingual_finetuned_cefr_ner_60000news_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("full_8epoch_bert_base_multilingual_finetuned_cefr_ner_60000news_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | full_8epoch_bert_base_multilingual_finetuned_cefr_ner_60000news_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 665.1 MB |
References
https://huggingface.co/DioBot2000/Full-8epoch-BERT-base-multilingual-finetuned-CEFR_ner-60000news
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification