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
| API | |
| === | |
| Tokenizer | |
| --------- | |
| .. toctree:: | |
| :maxdepth: 1 | |
| geneformer.tokenizer | |
| Classifier | |
| ---------- | |
| .. toctree:: | |
| :maxdepth: 1 | |
| geneformer.classifier | |
| Multitask Classifier | |
| -------------------- | |
| .. toctree:: | |
| :maxdepth: 1 | |
| geneformer.mtl_classifier | |
| Embedding Extractor | |
| ------------------- | |
| .. toctree:: | |
| :maxdepth: 1 | |
| geneformer.emb_extractor | |
| In Silico Perturber | |
| ------------------- | |
| .. toctree:: | |
| :maxdepth: 1 | |
| geneformer.in_silico_perturber | |
| In Silico Perturber Stats | |
| ------------------------- | |
| .. toctree:: | |
| :maxdepth: 1 | |
| geneformer.in_silico_perturber_stats | |