Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.dnabert_2_117m_ft_hepg2_1kbphg19_dhss_h3k27ac_10xcontrol_pipeline is a English model originally trained by tanoManzo.
How to use
pipeline = PretrainedPipeline("dnabert_2_117m_ft_hepg2_1kbphg19_dhss_h3k27ac_10xcontrol_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("dnabert_2_117m_ft_hepg2_1kbphg19_dhss_h3k27ac_10xcontrol_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | dnabert_2_117m_ft_hepg2_1kbphg19_dhss_h3k27ac_10xcontrol_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 333.8 MB |
References
https://huggingface.co/tanoManzo/DNABERT-2-117M_ft_Hepg2_1kbpHG19_DHSs_H3K27AC_10xControl
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification