Instructions to use OneScience-Group/Antibody_deep_learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use OneScience-Group/Antibody_deep_learning with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("OneScience-Group/Antibody_deep_learning") - Notebooks
- Google Colab
- Kaggle
File size: 434 Bytes
fe8e241 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"project_root": ".",
"data_dir": "model",
"weight_dir": "weight",
"script_dir": "scripts",
"cnn": {
"raw_table": "model/CNN/all_ab_pre_post.txt",
"ctla4_model": "weight/CNN/model_c1",
"pd1_model": "weight/CNN/model_p1"
},
"gan": {
"sequence_groups": "model/GAN/seq_all.RDS",
"encoded_groups": "model/GAN/seq_all_encoded.RDS",
"pretrained_model_pattern": "weight/GAN/GAN_model_{model_id}"
}
}
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