Instructions to use ElBeh/ma_finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ElBeh/ma_finetuned_model 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://ElBeh/ma_finetuned_model") - Notebooks
- Google Colab
- Kaggle
Download assets/summary_plot.png from ElBeh/ma_finetuned_model: direct link, hf CLI and curl.
- Browser
- Download file 222 kB
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https://huggingface.co/ElBeh/ma_finetuned_model/resolve/main/assets/summary_plot.png
- Command line
-
hf download hf://ElBeh/ma_finetuned_model/assets/summary_plot.png
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curl -L -o summary_plot.png https://huggingface.co/ElBeh/ma_finetuned_model/resolve/main/assets/summary_plot.png
222 kB
