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 models_1003.zip from dltest12345/testmodel: direct link, hf CLI and curl.
- Browser
- Download file 7 kB
-
https://huggingface.co/dltest12345/testmodel/resolve/main/models_1003.zip
- Command line
-
hf download hf://dltest12345/testmodel/models_1003.zip
-
curl -L -o models_1003.zip https://huggingface.co/dltest12345/testmodel/resolve/main/models_1003.zip
7 kB
- Xet hash:
- 04e2b0109157a393f779b48d723a399cd58fff217aea90abb44e87bcc0df9b9b
- Size of remote file:
- 7 kB
- SHA256:
- a2098caca2f3717c4d75d4a13e847542185a4d4e612d4f5ad840e6276923d529
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