Instructions to use Dylan-LE/KP-GRM-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dylan-LE/KP-GRM-predictor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dylan-LE/KP-GRM-predictor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
The model is designed to predict TF binding by jointly modeling protein sequence embeddings and DNA sequence features.
96TF: Best model trained using 96 TF Dap-seq datasets. 27TF: Best model trained using 27 TF Dap-seq datasets.
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