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
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---
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). |