Instructions to use dltest12345/testmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dltest12345/testmodel 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://dltest12345/testmodel") - Notebooks
- Google Colab
- Kaggle
Download model_1003.h5 from dltest12345/testmodel: direct link, hf CLI and curl.
- Browser
- Download file 2.61 kB
-
https://huggingface.co/dltest12345/testmodel/resolve/main/model_1003.h5
- Command line
-
hf download hf://dltest12345/testmodel/model_1003.h5
-
curl -L -o model_1003.h5 https://huggingface.co/dltest12345/testmodel/resolve/main/model_1003.h5
2.61 kB
- Xet hash:
- dc027957c9813df8320bef052111b54d2280ed6e131b3d536f46bb2c74cd47b7
- Size of remote file:
- 2.61 kB
- SHA256:
- f6a85e6604b8646b8778e0a86a5575f609095d6161ab0f0bf514a854b74d8a86
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