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JFLa
/
GF-CAB

Token Classification
Transformers
Safetensors
English
biology
single-cell
transcriptomics
Model card Files Files and versions
xet
Community

Instructions to use JFLa/GF-CAB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JFLa/GF-CAB with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="JFLa/GF-CAB")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("JFLa/GF-CAB", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GF-CAB / geneformer
44.3 MB
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  • 1 contributor
History: 1 commit
JFLa's picture
JFLa
Upload 14 files
f22cc6f verified 8 months ago
  • .DS_Store
    6.15 kB
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  • Dataset_Create.py
    2.87 kB
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  • __init__.py
    558 Bytes
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  • collator_for_classification.py
    29.8 kB
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  • emb_extractor.py
    29.4 kB
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  • gene_median_dictionary.pkl

    Detected Pickle imports (2)

    • "numpy.dtype",
    • "numpy.core.multiarray.scalar"

    How to fix it?

    941 kB
    xet
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  • gene_name_id_dict.pkl

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.12 MB
    xet
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  • in_silico_perturber.py
    38.7 kB
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  • in_silico_perturber_stats.py
    43 kB
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  • model.safetensors
    41.2 MB
    xet
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  • perturber_utils.py
    24.7 kB
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  • pretrainer.py
    44.5 kB
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  • token_dictionary.pkl

    Detected Pickle imports (2)

    • "numpy.dtype",
    • "numpy.core.multiarray.scalar"

    How to fix it?

    788 kB
    xet
    Upload 14 files 8 months ago
  • tokenizer.py
    15.4 kB
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