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
Download docs/source/index.rst from ctheodoris/Geneformer: direct link, hf CLI and curl.
- Browser
- Download file 359 Bytes
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https://huggingface.co/ctheodoris/Geneformer/resolve/cf0d7d4a1ceb2563bfbf7cf74f63e88a3938a481/docs/source/index.rst
- Command line
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hf download hf://ctheodoris/Geneformer@cf0d7d4a1ceb2563bfbf7cf74f63e88a3938a481/docs/source/index.rst
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curl -L -o index.rst https://huggingface.co/ctheodoris/Geneformer/resolve/cf0d7d4a1ceb2563bfbf7cf74f63e88a3938a481/docs/source/index.rst
359 Bytes
| Geneformer | |
| ========== | |
| Geneformer is a foundation transformer model pretrained on a large-scale corpus of ~30 million single cell transcriptomes to enable context-aware predictions in network biology. | |
| See `our manuscript <https://rdcu.be/ddrx0>`_ for details. | |
| Table of Contents | |
| ----------------- | |
| .. toctree:: | |
| :maxdepth: 2 | |
| about | |
| getstarted | |
| api | |