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 metadata.json from Melisa13/masterclass-2025: direct link, hf CLI and curl.
- Browser
- Download file 64 Bytes
-
https://huggingface.co/Melisa13/masterclass-2025/resolve/main/metadata.json
- Command line
-
hf download hf://Melisa13/masterclass-2025/metadata.json
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curl -L -o metadata.json https://huggingface.co/Melisa13/masterclass-2025/resolve/main/metadata.json
64 Bytes
| {"keras_version": "3.11.3", "date_saved": "2025-10-17@18:05:48"} |