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 training_args.bin from ctheodoris/Geneformer: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/ctheodoris/Geneformer/resolve/7cf49a35a86ed13714473b420b65bfe4a910de79/training_args.bin
- Command line
-
hf download hf://ctheodoris/Geneformer@7cf49a35a86ed13714473b420b65bfe4a910de79/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ctheodoris/Geneformer/resolve/7cf49a35a86ed13714473b420b65bfe4a910de79/training_args.bin
5.43 kB
- Xet hash:
- 2ab44947c92b834e4bf3ca77fcb3f73e4812c81c12adc7776c8de178556328e7
- Size of remote file:
- 5.43 kB
- SHA256:
- e45150f9a4ca34cb4e91ce79f65f3d99d9d66df9f66a37517a352d291008e0b8
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