Instructions to use AI-vBRAIN/pyMEAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AI-vBRAIN/pyMEAL 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://AI-vBRAIN/pyMEAL") - Notebooks
- Google Colab
- Kaggle
Download Fig1_TA_NA.png from AI-vBRAIN/pyMEAL: direct link, hf CLI and curl.
- Browser
- Download file 444 kB
-
https://huggingface.co/AI-vBRAIN/pyMEAL/resolve/main/Fig1_TA_NA.png
- Command line
-
hf download hf://AI-vBRAIN/pyMEAL/Fig1_TA_NA.png
-
curl -L -o Fig1_TA_NA.png https://huggingface.co/AI-vBRAIN/pyMEAL/resolve/main/Fig1_TA_NA.png
444 kB

- Xet hash:
- 65580710fb09b896e8901c8138512566877ea79c06c54bb6c121fdec9c32283a
- Size of remote file:
- 444 kB
- SHA256:
- 378bde5e89a62ce3d360eba81f592bc22e4be112a53349bcc9a712441fa5d7e2
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