Instructions to use Melisa13/masterclass-2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Melisa13/masterclass-2025 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://Melisa13/masterclass-2025") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from Melisa13/masterclass-2025: direct link, hf CLI and curl.
- Browser
- Download file 18.6 MB
-
https://huggingface.co/Melisa13/masterclass-2025/resolve/main/model.weights.h5
- Command line
-
hf download hf://Melisa13/masterclass-2025/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/Melisa13/masterclass-2025/resolve/main/model.weights.h5
18.6 MB
- Xet hash:
- b3839e6e7133edf63ffb058fea0e9340d4c8b646003cc79668725fd24cdc29d3
- Size of remote file:
- 18.6 MB
- SHA256:
- 28aad5225cbb914beb19aaede4955dc834dd7a0698afb7508e00623602c3f980
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