Instructions to use ctheodoris/Geneformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctheodoris/Geneformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ctheodoris/Geneformer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ctheodoris/Geneformer") model = AutoModelForMaskedLM.from_pretrained("ctheodoris/Geneformer") - Inference
- Notebooks
- Google Colab
- Kaggle
Fixed bugs related to overexpressing genes
#229
by davidjwen - opened
- indexing was off by one with overexpressing "all"
- perturbed genes should be removed correctly before calculating the cosine similarities
- code cleaned code cleaned up slightly
known bug: the embeddings are very slightly different (< 1% cosine shift) if a cell is calculated on its own vs. in a batch
ctheodoris changed pull request status to merged