Description
Pretrained DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.distilbert_base_uncased_phrase_mlm_90000steps_pipeline is a English model originally trained by lamdo.
How to use
pipeline = PretrainedPipeline("distilbert_base_uncased_phrase_mlm_90000steps_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("distilbert_base_uncased_phrase_mlm_90000steps_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | distilbert_base_uncased_phrase_mlm_90000steps_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 259.5 MB |
References
https://huggingface.co/lamdo/distilbert-base-uncased-phrase-mlm-90000steps
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertEmbeddings