nvidia/geneformer_V2_104M_CLcancer

fill-mask
Actively maintainedby nvidia131updated 5 months ago
Python

## Description: Geneformer is a foundational transformer model pretrained on a large-scale corpus of single-cell transcriptomes to enable context-specific predictions in settings with limited data in network biology. This model version was continually pretrained on ~14 million cancer transcriptomes…

README

datasets: ctheodoris/Genecorpus-30M libraryname: transformers license: apache-2.0 tags: single-cell genomics Geneformer-V2-104MCLcancer (TransformerEngine-Optimized) Overview Description: Geneformer is a foundational transformer model pretrained on a large-scale corpus of single-cell transcriptomes to enable context-specific predictions in settings with limited data in network biology. This model version was continually pretrained on ~14 million cancer transcriptomes to yield a cancer…

Source attribution

  • HuggingFacenvidia/geneformer_V2_104M_CLcancer

Related resources

## Description: Geneformer is a foundational transformer model pretrained on a large-scale corpus of single-cell transcriptomes to enable context-specific predictions in settings with limited data in network biology.

265 months ago
Python

## Description: Geneformer is a foundational transformer model pretrained on a large-scale corpus of single-cell transcriptomes to enable context-specific predictions in settings with limited data in network biology.

245 months ago
Python

## Description: Geneformer is a foundational transformer model pretrained on a large-scale corpus of single-cell transcriptomes to enable context-specific predictions in settings with limited data in network biology.

165 months ago
Python

# Geneformer Geneformer is a foundational transformer model pretrained on a large-scale corpus of human single cell transcriptomes to enable context-aware predictions in settings with limited data in network biology.

20.3K1 month ago
Python
46910 months ago
Python
27.4K10 months ago
Python