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
| { | |
| "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}" | |
| } | |
| } | |