Instructions to use JabaleNurAdnan/CS_Checkpoints_Dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use JabaleNurAdnan/CS_Checkpoints_Dataset with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://JabaleNurAdnan/CS_Checkpoints_Dataset") - Notebooks
- Google Colab
- Kaggle
Add files using upload-large-folder tool
Browse files- _checkpoints/Edge_IIoTset__CNN__FedProx__iid/latest_weights.npz +3 -0
- _checkpoints/UNSW_NB15__Transformer__FedNova__non_iid/latest_weights.npz +3 -0
- _checkpoints/UNSW_NB15__Transformer__FedProx__iid/latest_weights.npz +2 -2
- _checkpoints/UNSW_NB15__Transformer__FedProx__non_iid/latest_weights.npz +3 -0
_checkpoints/Edge_IIoTset__CNN__FedProx__iid/latest_weights.npz
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oid sha256:1f5d29b2539ed781bb0ac48fe6b79135b891163666793f84d7030c610ee5b18d
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size 36558
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_checkpoints/UNSW_NB15__Transformer__FedNova__non_iid/latest_weights.npz
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oid sha256:716f76df55808814877bbb0385d97d34af4d9a1d472d0faa9800d16a71b342ae
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size 5383
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_checkpoints/UNSW_NB15__Transformer__FedProx__iid/latest_weights.npz
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oid sha256:8ca1a4009b63c489d6c55592061910a99caed497f752da39407d7858ac8089a7
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size 5383
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_checkpoints/UNSW_NB15__Transformer__FedProx__non_iid/latest_weights.npz
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size 5377
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