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", device_map="auto")
https://huggingface.co/ctheodoris/Geneformer/resolve/42dbf0ae41244b93f1c3735fa393a966ffe64dfa/examples/multitask_cell_classification.ipynb
hf download hf://ctheodoris/Geneformer@42dbf0ae41244b93f1c3735fa393a966ffe64dfa/examples/multitask_cell_classification.ipynb
curl -L -o multitask_cell_classification.ipynb https://huggingface.co/ctheodoris/Geneformer/resolve/42dbf0ae41244b93f1c3735fa393a966ffe64dfa/examples/multitask_cell_classification.ipynb
