Instructions to use tdc/Geneformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tdc/Geneformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tdc/Geneformer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tdc/Geneformer") model = AutoModelForMaskedLM.from_pretrained("tdc/Geneformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from tdc/Geneformer: direct link, hf CLI and curl.
- Browser
- Download file 605 MB
-
https://huggingface.co/tdc/Geneformer/resolve/main/model.safetensors
- Command line
-
hf download hf://tdc/Geneformer/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/tdc/Geneformer/resolve/main/model.safetensors
605 MB
- Xet hash:
- da208a0a29e68ce51cf015fe3eafde7b26011feff5776ddfa70aaab661e47fc0
- Size of remote file:
- 605 MB
- SHA256:
- db85c081a6d392448955c7d0185e26aba74507518df991ca8c69ee9108ce8bbf
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