Description
Pretrained AlbertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.erlangshen_unimc_albert_235m_english_pipeline is a English model originally trained by IDEA-CCNL.
How to use
pipeline = PretrainedPipeline("erlangshen_unimc_albert_235m_english_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("erlangshen_unimc_albert_235m_english_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | erlangshen_unimc_albert_235m_english_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 771.0 MB |
References
https://huggingface.co/IDEA-CCNL/Erlangshen-UniMC-Albert-235M-English
Included Models
- DocumentAssembler
- TokenizerModel
- AlbertEmbeddings