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.pkl from dltest12345/testmodel: direct link, hf CLI and curl.
- Browser
- Download file 176 Bytes
-
https://huggingface.co/dltest12345/testmodel/resolve/main/model_1003.pkl
- Command line
-
hf download hf://dltest12345/testmodel/model_1003.pkl
-
curl -L -o model_1003.pkl https://huggingface.co/dltest12345/testmodel/resolve/main/model_1003.pkl
176 Bytes
- Xet hash:
- ad7fbc868d2eff569050a1dc3f56f0f527a064e973da1da6c34e5c4816d99baf
- Size of remote file:
- 176 Bytes
- SHA256:
- 631bee7ba403f819168ed64b07d8ab98bb63db8022e710399668d75b26aa17fe
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