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")# pip install -U transformers accelerate # 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
Download docs/source/geneformer.tokenizer.rst from ctheodoris/Geneformer: direct link, hf CLI and curl.
- Browser
- Download file 319 Bytes
-
https://huggingface.co/ctheodoris/Geneformer/resolve/9f0fa5d773efa20d201f2d548baff6edca7d08d5/docs/source/geneformer.tokenizer.rst
- Command line
-
hf download hf://ctheodoris/Geneformer@9f0fa5d773efa20d201f2d548baff6edca7d08d5/docs/source/geneformer.tokenizer.rst
-
curl -L -o geneformer.tokenizer.rst https://huggingface.co/ctheodoris/Geneformer/resolve/9f0fa5d773efa20d201f2d548baff6edca7d08d5/docs/source/geneformer.tokenizer.rst
319 Bytes
| geneformer.tokenizer | |
| ==================== | |
| .. automodule:: geneformer.tokenizer | |
| :members: | |
| :undoc-members: | |
| :show-inheritance: | |
| :exclude-members: | |
| create_dataset, | |
| tokenize_anndata, | |
| tokenize_files, | |
| tokenize_loom, | |
| rank_genes, | |
| tokenize_cell, | |
| sum_ensembl_ids | |