Instructions to use m0kr4n3/model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use m0kr4n3/model3 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://m0kr4n3/model3") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from m0kr4n3/model3: direct link, hf CLI and curl.
- Browser
- Download file 4.88 kB
-
https://huggingface.co/m0kr4n3/model3/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://m0kr4n3/model3/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/m0kr4n3/model3/resolve/main/keras_metadata.pb
4.88 kB
- Xet hash:
- 600c7fa10eaa571d37af0a073c3adbea20f58c046fb46c46e45e9cb7e2a93780
- Size of remote file:
- 4.88 kB
- SHA256:
- a5da0c2c43b9dc51da57c4df8d8e554b9e6a14a9cd85f173ff6bacb4c42f9812
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