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 gf-12L-30M-i2048/pytorch_model.bin from ctheodoris/Geneformer: direct link, hf CLI and curl.
- Browser
- Download file 158 MB
-
https://huggingface.co/ctheodoris/Geneformer/resolve/9f0fa5d773efa20d201f2d548baff6edca7d08d5/gf-12L-30M-i2048/pytorch_model.bin
- Command line
-
hf download hf://ctheodoris/Geneformer@9f0fa5d773efa20d201f2d548baff6edca7d08d5/gf-12L-30M-i2048/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ctheodoris/Geneformer/resolve/9f0fa5d773efa20d201f2d548baff6edca7d08d5/gf-12L-30M-i2048/pytorch_model.bin
158 MB
- Xet hash:
- 5c61744c85f93e25d5b7edaf5af9d3aadcea3a2768e236e2501cbeffd7ae97bd
- Size of remote file:
- 158 MB
- SHA256:
- 812f8d85e5ecf9d64c268f052f6ece2c1906bc4f1aecf70d5144b2598386b615
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