Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.actionable_policy_bert_base_multilingual_uncased_f1_weighted_pipeline is a Multilingual model originally trained by faodl.
How to use
pipeline = PretrainedPipeline("actionable_policy_bert_base_multilingual_uncased_f1_weighted_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("actionable_policy_bert_base_multilingual_uncased_f1_weighted_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | actionable_policy_bert_base_multilingual_uncased_f1_weighted_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 627.8 MB |
References
https://huggingface.co/faodl/actionable-policy-bert-base-multilingual-uncased-f1_weighted
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification