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 obfuscated_malicious.pt from dltest12345/testmodel: direct link, hf CLI and curl.
- Browser
- Download file 1.4 kB
-
https://huggingface.co/dltest12345/testmodel/resolve/main/obfuscated_malicious.pt
- Command line
-
hf download hf://dltest12345/testmodel/obfuscated_malicious.pt
-
curl -L -o obfuscated_malicious.pt https://huggingface.co/dltest12345/testmodel/resolve/main/obfuscated_malicious.pt
1.4 kB
- Xet hash:
- f42651b008bead0a7ab6b61694a64860030bf351c4ef841d0e611bb1561edb52
- Size of remote file:
- 1.4 kB
- SHA256:
- 6bbf270bdcf88d4027619cf8b83af6ac2da3e8b34ce988b5c1c523b3a60e7a72
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