Instructions to use Okneas/digits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Okneas/digits 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://Okneas/digits") - Notebooks
- Google Colab
- Kaggle
Download fingerprint.pb from Okneas/digits: direct link, hf CLI and curl.
- Browser
- Download file 58 Bytes
-
https://huggingface.co/Okneas/digits/resolve/main/fingerprint.pb
- Command line
-
hf download hf://Okneas/digits/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/Okneas/digits/resolve/main/fingerprint.pb
58 Bytes
- Xet hash:
- 1525f5e4f0225b0048333a944d6791117e4aed4c0125c406609416f86290b010
- Size of remote file:
- 58 Bytes
- SHA256:
- b168efad4225cff84b53aa9c0b28289f81512c779a01841f8cff5b6288f71dfe
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