Instructions to use Andrey13rasfasf/task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Andrey13rasfasf/task 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://Andrey13rasfasf/task") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from Andrey13rasfasf/task: direct link, hf CLI and curl.
- Browser
- Download file 15.6 kB
-
https://huggingface.co/Andrey13rasfasf/task/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://Andrey13rasfasf/task/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/Andrey13rasfasf/task/resolve/main/keras_metadata.pb
15.6 kB
- Xet hash:
- a54dbe67453e5fd731d3003d5c1a0fe1f6551c45b65f72a3be3db2a75d7e62b5
- Size of remote file:
- 15.6 kB
- SHA256:
- 95e7e08adfdc1e2d5ad3b436111393310b5a859342f6d3034d438eb56aff32b8
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