Instructions to use ChristianTeroerde/modelscan-nested-lambda-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ChristianTeroerde/modelscan-nested-lambda-poc 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://ChristianTeroerde/modelscan-nested-lambda-poc") - Notebooks
- Google Colab
- Kaggle
Download top-level-lambda.h5 from ChristianTeroerde/modelscan-nested-lambda-poc: direct link, hf CLI and curl.
- Browser
- Download file 9.22 kB
-
https://huggingface.co/ChristianTeroerde/modelscan-nested-lambda-poc/resolve/main/top-level-lambda.h5
- Command line
-
hf download hf://ChristianTeroerde/modelscan-nested-lambda-poc/top-level-lambda.h5
-
curl -L -o top-level-lambda.h5 https://huggingface.co/ChristianTeroerde/modelscan-nested-lambda-poc/resolve/main/top-level-lambda.h5
9.22 kB
- Xet hash:
- 65767b005f3b5647f64cb2fa565bd46430b348faa968f75cbc7b616217109a2d
- Size of remote file:
- 9.22 kB
- SHA256:
- 0258b0b256e023d809b4bb95321da46feb82395258e009506d128ba0de13e821
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