Instructions to use ElBeh/ma_basemodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ElBeh/ma_basemodel with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ElBeh/ma_basemodel") - Notebooks
- Google Colab
- Kaggle
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library_name: keras
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---
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This model has been uploaded using the Keras library and can be used with JAX,
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TensorFlow, and PyTorch backends.
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This model card has been generated automatically and should be completed by the
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model author.
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See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for
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more information.
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For more details about the model architecture, check out
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[config.json](./config.json).
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