Instructions to use NathanSegers/masterclass-2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use NathanSegers/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://NathanSegers/masterclass-2025") - Notebooks
- Google Colab
- Kaggle
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Download README.md from NathanSegers/masterclass-2025: direct link, hf CLI and curl.
- Browser
- Download file 424 Bytes
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https://huggingface.co/NathanSegers/masterclass-2025/resolve/main/README.md
- Command line
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hf download hf://NathanSegers/masterclass-2025/README.md
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curl -L -o README.md https://huggingface.co/NathanSegers/masterclass-2025/resolve/main/README.md
424 Bytes
| library_name: keras | |
| This model has been uploaded using the Keras library and can be used with JAX, | |
| TensorFlow, and PyTorch backends. | |
| This model card has been generated automatically and should be completed by the | |
| model author. | |
| See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for | |
| more information. | |
| For more details about the model architecture, check out | |
| [config.json](./config.json). |