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 saved_model.pb from Andrey13rasfasf/task: direct link, hf CLI and curl.
- Browser
- Download file 134 kB
-
https://huggingface.co/Andrey13rasfasf/task/resolve/main/saved_model.pb
- Command line
-
hf download hf://Andrey13rasfasf/task/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Andrey13rasfasf/task/resolve/main/saved_model.pb
134 kB
- Xet hash:
- c67c4e3dc0e389cc553c7964de97eb8c54eec9516f22151c5e7a81cdab106e00
- Size of remote file:
- 134 kB
- SHA256:
- dfd2f277377c3e248777f3de06a00671fd98539c3570a5f2d9fdae1d33d31c55
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