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
TypeError in classifier.py
#568
by ro2h5 - opened
Hi,
using 3-fold cross-validation raised an TypeError in classifier.py line 807:
File "/.../geneformer/classifier.py", line 807, in validate
eval_indices = [j for j in range(start, end)]
TypeError: 'float' object cannot be interpreted as an integer
I guess num_eval needs to be casted to int.
Thanks!
Thank you for catching this - a fix has been merged.
ctheodoris changed discussion status to closed