Instructions to use CyberTea/digits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use CyberTea/digits with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://CyberTea/digits") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1525f5e4f0225b0048333a944d6791117e4aed4c0125c406609416f86290b010
- Size of remote file:
- 58 Bytes
- SHA256:
- b168efad4225cff84b53aa9c0b28289f81512c779a01841f8cff5b6288f71dfe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.