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.npy from dltest12345/testmodel: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
-
https://huggingface.co/dltest12345/testmodel/resolve/main/model_1003.npy
- Command line
-
hf download hf://dltest12345/testmodel/model_1003.npy
-
curl -L -o model_1003.npy https://huggingface.co/dltest12345/testmodel/resolve/main/model_1003.npy
345 Bytes
- Xet hash:
- d8ccb76801fa144e289d49a497dc72ef34db71c810c5c44d72962a437be06149
- Size of remote file:
- 345 Bytes
- SHA256:
- 0baca677d0138bc0a4771f5a547916db9e485b799dc2433ea13705ee2e8553e9
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