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), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("OneScience-Group/Antibody_deep_learning") - Notebooks
- Google Colab
- Kaggle
Download weight/CNN/model_c1/saved_model.pb from OneScience-Group/Antibody_deep_learning: direct link, hf CLI and curl.
- Browser
- Download file 207 kB
-
https://huggingface.co/OneScience-Group/Antibody_deep_learning/resolve/main/weight/CNN/model_c1/saved_model.pb
- Command line
-
hf download hf://OneScience-Group/Antibody_deep_learning/weight/CNN/model_c1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/OneScience-Group/Antibody_deep_learning/resolve/main/weight/CNN/model_c1/saved_model.pb
207 kB
- Xet hash:
- 8d7b86010a7be4bf6b445d9e18fa1ec0f01dad5287f9796f08ee2b58591ced26
- Size of remote file:
- 207 kB
- SHA256:
- 3d523365865feb68260c10c78ae9c196aab6149349a97cd7113063aa9f756e3b
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