Instructions to use hamzaN1/CNN-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hamzaN1/CNN-Model 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://hamzaN1/CNN-Model") - Notebooks
- Google Colab
- Kaggle
Download activity_model.keras from hamzaN1/CNN-Model: direct link, hf CLI and curl.
- Browser
- Download file 624 kB
-
https://huggingface.co/hamzaN1/CNN-Model/resolve/main/activity_model.keras
- Command line
-
hf download hf://hamzaN1/CNN-Model/activity_model.keras
-
curl -L -o activity_model.keras https://huggingface.co/hamzaN1/CNN-Model/resolve/main/activity_model.keras
624 kB
- Xet hash:
- 401d949dd07da4ff57eabb032c86df13f075f1a5beb42b9b75ee29f3b0f583c6
- Size of remote file:
- 624 kB
- SHA256:
- e0d1c4d95762ba9433cc1afc27703caeb5f27fa2d72f15ede4bfa2a93a1fdf41
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