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 fingerprint.pb from Andrey13rasfasf/task: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
-
https://huggingface.co/Andrey13rasfasf/task/resolve/main/fingerprint.pb
- Command line
-
hf download hf://Andrey13rasfasf/task/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/Andrey13rasfasf/task/resolve/main/fingerprint.pb
56 Bytes
- Xet hash:
- 11633096e788e0ad531dead52b13f1fc493c96eff74ebe778c8daaab1c76f22d
- Size of remote file:
- 56 Bytes
- SHA256:
- 55b2f3337d21f269382852164ff0084fe61e4b264b226c849cbef567bb17a89d
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