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/GAN/GAN_model_13/saved_model.pb from OneScience-Group/Antibody_deep_learning: direct link, hf CLI and curl.
- Browser
- Download file 158 kB
-
https://huggingface.co/OneScience-Group/Antibody_deep_learning/resolve/main/weight/GAN/GAN_model_13/saved_model.pb
- Command line
-
hf download hf://OneScience-Group/Antibody_deep_learning/weight/GAN/GAN_model_13/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/OneScience-Group/Antibody_deep_learning/resolve/main/weight/GAN/GAN_model_13/saved_model.pb
158 kB
- Xet hash:
- c2c482d0b513a92c4a1551f7af19f6b0bf499975ac890fcb6d92d813f2750427
- Size of remote file:
- 158 kB
- SHA256:
- c6faceceafc4015345b43e9b2fdee255b0a1ae5344cdca0e92318f989531e501
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