Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.banglabert_generator_finetuned_fill_in_the_blanks_kaggle_pipeline is a English model originally trained by mahsharyahan.
How to use
pipeline = PretrainedPipeline("banglabert_generator_finetuned_fill_in_the_blanks_kaggle_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("banglabert_generator_finetuned_fill_in_the_blanks_kaggle_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | banglabert_generator_finetuned_fill_in_the_blanks_kaggle_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 130.0 MB |
References
https://huggingface.co/mahsharyahan/banglabert_generator-finetuned-fill-in-the-blanks-kaggle
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings