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appliedscientific
/
vcbench-geneformer-perturbation

Text Classification
Transformers
Safetensors
English
bert
single-cell
perturbation-prediction
crispr
crispra
geneformer
vcbench
foundation-model
benchmark
norman-2019
bert-classifier
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use appliedscientific/vcbench-geneformer-perturbation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use appliedscientific/vcbench-geneformer-perturbation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="appliedscientific/vcbench-geneformer-perturbation")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("appliedscientific/vcbench-geneformer-perturbation")
    model = AutoModelForSequenceClassification.from_pretrained("appliedscientific/vcbench-geneformer-perturbation", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vcbench-geneformer-perturbation / norman_labeled_test.dataset
14.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
VibeCodingScientist's picture
VibeCodingScientist
Initial VCBench v1.0-nature artifact upload
8be3f36 verified 4 months ago
  • data-00000-of-00001.arrow
    14.4 MB
    xet
    Initial VCBench v1.0-nature artifact upload 4 months ago
  • dataset_info.json
    436 Bytes
    Initial VCBench v1.0-nature artifact upload 4 months ago
  • state.json
    247 Bytes
    Initial VCBench v1.0-nature artifact upload 4 months ago