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
| geneformer.emb\_extractor | |
| ========================= | |
| .. automodule:: geneformer.emb_extractor | |
| :members: | |
| :undoc-members: | |
| :show-inheritance: | |
| :exclude-members: | |
| accumulate_tdigests, | |
| gen_heatmap_class_colors, | |
| gen_heatmap_class_dict, | |
| get_embs, | |
| label_cell_embs, | |
| label_gene_embs, | |
| make_colorbar, | |
| plot_heatmap, | |
| plot_umap, | |
| summarize_gene_embs, | |
| tdigest_mean, | |
| tdigest_median, | |
| test_emb, | |
| update_tdigest_dict, | |
| update_tdigest_dict_mean, | |
| update_tdigest_dict_median, | |
| valid_option_dict, | |
| validate_options | |