Instructions to use dltest123456/testmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dltest123456/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://dltest123456/testmodel") - Notebooks
- Google Colab
- Kaggle
Download model_1010.pt from dltest123456/testmodel: direct link, hf CLI and curl.
- Browser
- Download file 1.34 kB
-
https://huggingface.co/dltest123456/testmodel/resolve/main/model_1010.pt
- Command line
-
hf download hf://dltest123456/testmodel/model_1010.pt
-
curl -L -o model_1010.pt https://huggingface.co/dltest123456/testmodel/resolve/main/model_1010.pt
1.34 kB
- Xet hash:
- 9c7fcf350002ab687a9d1965a1cfb74adc8b5b85c0ac431036623d563c73ff6b
- Size of remote file:
- 1.34 kB
- SHA256:
- 9164865efb5ae67f48f44485fce6b4a43b6de3e260ccac3cf3c1c2d9f12094f3
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