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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
| anndata>=0.9 | |
| bitsandbytes>=0.45.5 | |
| datasets>=2.12 | |
| hyperopt>=0.2 | |
| loompy>=3.0 | |
| matplotlib>=3.7 | |
| numpy>=1.23 | |
| optuna>=3.6 | |
| optuna-integration>=3.6 | |
| packaging>=23.0 | |
| pandas>=2.0 | |
| peft>=0.11.1 | |
| pyarrow>=12.0 | |
| pytz>=2023.0 | |
| ray>=2.6 | |
| scanpy>=1.9 | |
| scikit_learn>=1.2 | |
| scipy>=1.10 | |
| seaborn>=0.12 | |
| setuptools>=65.6 | |
| statsmodels>=0.14 | |
| tdigest>=0.5.2 | |
| tensorboard>=2.15 | |
| torch>=2.0.1 | |
| tqdm>=4.65 | |
| transformers==4.46 |