Description
Pretrained AlbertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.debiasing_pre_trained_contextualised_embeddings_albert_pipeline is a English model originally trained by Daniel-Saeedi.
Predicted Entities
How to use
pipeline = PretrainedPipeline("debiasing_pre_trained_contextualised_embeddings_albert_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("debiasing_pre_trained_contextualised_embeddings_albert_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | debiasing_pre_trained_contextualised_embeddings_albert_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 42.0 MB |
References
References
https://huggingface.co/Daniel-Saeedi/debiasing_pre-trained_contextualised_embeddings_albert
Included Models
- DocumentAssembler
- TokenizerModel
- AlbertEmbeddings