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 geneformer-12L-30M/training_args.bin from ctheodoris/Geneformer: direct link, hf CLI and curl.
- Browser
- Download file 2.61 kB
-
https://huggingface.co/ctheodoris/Geneformer/resolve/2e64874878ed98429f2d7fb6baeb2b0c8e8320c3/geneformer-12L-30M/training_args.bin
- Command line
-
hf download hf://ctheodoris/Geneformer@2e64874878ed98429f2d7fb6baeb2b0c8e8320c3/geneformer-12L-30M/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ctheodoris/Geneformer/resolve/2e64874878ed98429f2d7fb6baeb2b0c8e8320c3/geneformer-12L-30M/training_args.bin
2.61 kB
- Xet hash:
- e285751ace0d9e89bdb1a22b5c26f17609d7027c24f804adcb8600c4df89e127
- Size of remote file:
- 2.61 kB
- SHA256:
- 259cf6067211e24e198690d00f0a222ee5550ad57e23d04ced0d0ca2e1b3738e
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