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
Christina Theodoris
Update gene classification example to create directory after training arguments are defined
ebe5ee8 Download examples/gene_classification.ipynb from ctheodoris/Geneformer: direct link, hf CLI and curl.
- Browser
- Download file 167 kB
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https://huggingface.co/ctheodoris/Geneformer/resolve/78dd83b49baa64ef8733ad34a8c2124bae1a4448/examples/gene_classification.ipynb
- Command line
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hf download hf://ctheodoris/Geneformer@78dd83b49baa64ef8733ad34a8c2124bae1a4448/examples/gene_classification.ipynb
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curl -L -o gene_classification.ipynb https://huggingface.co/ctheodoris/Geneformer/resolve/78dd83b49baa64ef8733ad34a8c2124bae1a4448/examples/gene_classification.ipynb
167 kB