Instructions to use Jit0777/Digit-recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Jit0777/Digit-recognizer 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://Jit0777/Digit-recognizer") - Notebooks
- Google Colab
- Kaggle
Download cnn_model.keras from Jit0777/Digit-recognizer: direct link, hf CLI and curl.
- Browser
- Download file 10.6 MB
-
https://huggingface.co/Jit0777/Digit-recognizer/resolve/main/cnn_model.keras
- Command line
-
hf download hf://Jit0777/Digit-recognizer/cnn_model.keras
-
curl -L -o cnn_model.keras https://huggingface.co/Jit0777/Digit-recognizer/resolve/main/cnn_model.keras
10.6 MB
- Xet hash:
- a7d136fe27eb9b11b81ac525c69bd44184c7932336af75bee6a2808a9c5408fe
- Size of remote file:
- 10.6 MB
- SHA256:
- da818f5c4cc275e45cc127d443e056dbf4aa2e42e8ea35bdb1ba9f3fa708297a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.