Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Bgoood
/
SpatialGT-Pretrained

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

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

  • Libraries
  • Transformers

    How to use Bgoood/SpatialGT-Pretrained with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Bgoood/SpatialGT-Pretrained")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Bgoood/SpatialGT-Pretrained", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SpatialGT-Pretrained
2.88 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Bgoood's picture
Bgoood
Upload SpatialGT pretrained model
6f7c824 verified 4 months ago
  • checkpoint
    Upload SpatialGT pretrained model 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    1.63 kB
    Upload SpatialGT pretrained model 4 months ago