Instructions to use alltrue-ai/christina-small-test-malicious-lambda-layer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use alltrue-ai/christina-small-test-malicious-lambda-layer 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://alltrue-ai/christina-small-test-malicious-lambda-layer") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from alltrue-ai/christina-small-test-malicious-lambda-layer: direct link, hf CLI and curl.
- Browser
- Download file 13.4 kB
-
https://huggingface.co/alltrue-ai/christina-small-test-malicious-lambda-layer/resolve/main/model.weights.h5
- Command line
-
hf download hf://alltrue-ai/christina-small-test-malicious-lambda-layer/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/alltrue-ai/christina-small-test-malicious-lambda-layer/resolve/main/model.weights.h5
13.4 kB
- Xet hash:
- d1019817f9c3ac9866de7357f12cb5e49e055239ff7637d2d8dd93673532ab44
- Size of remote file:
- 13.4 kB
- SHA256:
- 74890d4636ceca2d9eb10533824401040b97726258105bc3ae88ef8895275bd3
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