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Bgoood
/
SpatialGT-MouseStroke-Sham

Feature Extraction
Transformers
Safetensors
PyTorch
English
spatial-transcriptomics
graph-transformer
gene-expression
finetuned
mouse-stroke
Model card Files Files and versions
xet
Community

Instructions to use Bgoood/SpatialGT-MouseStroke-Sham with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Bgoood/SpatialGT-MouseStroke-Sham with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Bgoood/SpatialGT-MouseStroke-Sham")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Bgoood/SpatialGT-MouseStroke-Sham", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SpatialGT-MouseStroke-Sham
1.25 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
Bgoood's picture
Bgoood
Upload SpatialGT mouse stroke Sham finetuned model
7680b76 verified 4 months ago
  • checkpoint
    Upload SpatialGT mouse stroke Sham finetuned model 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    1.84 kB
    Upload SpatialGT mouse stroke Sham finetuned model 4 months ago