Text Classification
Transformers
Safetensors
English
bert
single-cell
perturbation-prediction
crispr
crispra
geneformer
vcbench
foundation-model
benchmark
norman-2019
bert-classifier
Eval Results (legacy)
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
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