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 pythonV6/fingerprint.pb from ArturStepanenko/pythonV6: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
-
https://huggingface.co/ArturStepanenko/pythonV6/resolve/c73a13dcc3faa5f20ad32f4708256b2cb37bc129/pythonV6/fingerprint.pb
- Command line
-
hf download hf://ArturStepanenko/pythonV6@c73a13dcc3faa5f20ad32f4708256b2cb37bc129/pythonV6/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/ArturStepanenko/pythonV6/resolve/c73a13dcc3faa5f20ad32f4708256b2cb37bc129/pythonV6/fingerprint.pb
56 Bytes
- Xet hash:
- 67e697ca2faa68245b8488c83365e745a95cff5c3175567a95c70a2862e10817
- Size of remote file:
- 56 Bytes
- SHA256:
- b3e6442cee3047bb20f78a0e80602cf443c91903c81d64d7e3b3b8071536e124
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