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nvidia
/
geneformer_V1_10M

Fill-Mask
Transformers
Safetensors
bert
single-cell
genomics
custom_code
Model card Files Files and versions
xet
Community

Instructions to use nvidia/geneformer_V1_10M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nvidia/geneformer_V1_10M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="nvidia/geneformer_V1_10M", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("nvidia/geneformer_V1_10M", trust_remote_code=True)
    model = AutoModelForMaskedLM.from_pretrained("nvidia/geneformer_V1_10M", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
geneformer_V1_10M
67.4 MB
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  • 1 contributor
History: 2 commits
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ohadmo
upload TE checkpoint
d6f6cac 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • LICENSE
    11.5 kB
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  • README.md
    9 kB
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  • config.json
    933 Bytes
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  • geneformer.py
    38 kB
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  • model.safetensors
    67.3 MB
    xet
    upload TE checkpoint 5 months ago