Instructions to use ArturStepanenko/pythonV6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ArturStepanenko/pythonV6 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://ArturStepanenko/pythonV6") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from ArturStepanenko/pythonV6: direct link, hf CLI and curl.
- Browser
- Download file 280 kB
-
https://huggingface.co/ArturStepanenko/pythonV6/resolve/fd95300df00fb9a5721c81bfa7787bfb5a60b61a/saved_model.pb
- Command line
-
hf download hf://ArturStepanenko/pythonV6@fd95300df00fb9a5721c81bfa7787bfb5a60b61a/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/ArturStepanenko/pythonV6/resolve/fd95300df00fb9a5721c81bfa7787bfb5a60b61a/saved_model.pb
280 kB
- Xet hash:
- 0950f61fe1b76b8f38546a467b0386649551b099886e01dbfc05acd59d130d1f
- Size of remote file:
- 280 kB
- SHA256:
- a75fc6cf883742718404bba1def7d6a40e84ae421d82282fbebd1749b078f7e1
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